getExperimentsLis
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11792,7 +11792,7 @@ public int getExperimentsCount() {
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11806,7 +11806,7 @@ public org.mlflow.api.proto.Service.Experiment getExperiments(int index) {
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11827,7 +11827,7 @@ public Builder setExperiments(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11845,7 +11845,7 @@ public Builder setExperiments(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11865,7 +11865,7 @@ public Builder addExperiments(org.mlflow.api.proto.Service.Experiment value) {
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11886,7 +11886,7 @@ public Builder addExperiments(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11904,7 +11904,7 @@ public Builder addExperiments(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11922,7 +11922,7 @@ public Builder addExperiments(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11941,7 +11941,7 @@ public Builder addAllExperiments(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11958,7 +11958,7 @@ public Builder clearExperiments() {
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11975,7 +11975,7 @@ public Builder removeExperiments(int index) {
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -11986,7 +11986,7 @@ public org.mlflow.api.proto.Service.Experiment.Builder getExperimentsBuilder(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -12000,7 +12000,7 @@ public org.mlflow.api.proto.Service.ExperimentOrBuilder getExperimentsOrBuilder(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -12015,7 +12015,7 @@ public org.mlflow.api.proto.Service.ExperimentOrBuilder getExperimentsOrBuilder(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -12026,7 +12026,7 @@ public org.mlflow.api.proto.Service.Experiment.Builder addExperimentsBuilder() {
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -12038,7 +12038,7 @@ public org.mlflow.api.proto.Service.Experiment.Builder addExperimentsBuilder(
}
/**
*
- * All experiments
+ * All experiments.
*
*
* repeated .mlflow.Experiment experiments = 1;
@@ -12679,7 +12679,7 @@ public interface ResponseOrBuilder extends
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -12687,7 +12687,7 @@ public interface ResponseOrBuilder extends
boolean hasExperiment();
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -12695,7 +12695,7 @@ public interface ResponseOrBuilder extends
org.mlflow.api.proto.Service.Experiment getExperiment();
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -12848,7 +12848,7 @@ private Response(
private org.mlflow.api.proto.Service.Experiment experiment_;
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -12858,7 +12858,7 @@ public boolean hasExperiment() {
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -12868,7 +12868,7 @@ public org.mlflow.api.proto.Service.Experiment getExperiment() {
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13316,7 +13316,7 @@ public Builder mergeFrom(
org.mlflow.api.proto.Service.Experiment, org.mlflow.api.proto.Service.Experiment.Builder, org.mlflow.api.proto.Service.ExperimentOrBuilder> experimentBuilder_;
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13326,7 +13326,7 @@ public boolean hasExperiment() {
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13340,7 +13340,7 @@ public org.mlflow.api.proto.Service.Experiment getExperiment() {
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13360,7 +13360,7 @@ public Builder setExperiment(org.mlflow.api.proto.Service.Experiment value) {
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13378,7 +13378,7 @@ public Builder setExperiment(
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13402,7 +13402,7 @@ public Builder mergeExperiment(org.mlflow.api.proto.Service.Experiment value) {
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13419,7 +13419,7 @@ public Builder clearExperiment() {
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13431,7 +13431,7 @@ public org.mlflow.api.proto.Service.Experiment.Builder getExperimentBuilder() {
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -13446,7 +13446,7 @@ public org.mlflow.api.proto.Service.ExperimentOrBuilder getExperimentOrBuilder()
}
/**
*
- * Returns experiment details.
+ * Experiment details.
*
*
* optional .mlflow.Experiment experiment = 1;
@@ -15401,7 +15401,7 @@ public interface RestoreExperimentOrBuilder extends
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -15409,7 +15409,7 @@ public interface RestoreExperimentOrBuilder extends
boolean hasExperimentId();
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -15417,7 +15417,7 @@ public interface RestoreExperimentOrBuilder extends
java.lang.String getExperimentId();
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -15920,7 +15920,7 @@ public org.mlflow.api.proto.Service.RestoreExperiment.Response getDefaultInstanc
private volatile java.lang.Object experimentId_;
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -15930,7 +15930,7 @@ public boolean hasExperimentId() {
}
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -15951,7 +15951,7 @@ public java.lang.String getExperimentId() {
}
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -16289,7 +16289,7 @@ public Builder mergeFrom(
private java.lang.Object experimentId_ = "";
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -16299,7 +16299,7 @@ public boolean hasExperimentId() {
}
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -16320,7 +16320,7 @@ public java.lang.String getExperimentId() {
}
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -16340,7 +16340,7 @@ public java.lang.String getExperimentId() {
}
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -16357,7 +16357,7 @@ public Builder setExperimentId(
}
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -16370,7 +16370,7 @@ public Builder clearExperimentId() {
}
/**
*
- * Identifier to get an experiment
+ * ID of the associated experiment.
*
*
* optional string experiment_id = 1 [(.mlflow.validate_required) = true];
@@ -16470,7 +16470,7 @@ public interface UpdateExperimentOrBuilder extends
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -16478,7 +16478,7 @@ public interface UpdateExperimentOrBuilder extends
boolean hasNewName();
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -16486,7 +16486,7 @@ public interface UpdateExperimentOrBuilder extends
java.lang.String getNewName();
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17050,7 +17050,7 @@ public java.lang.String getExperimentId() {
private volatile java.lang.Object newName_;
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17060,7 +17060,7 @@ public boolean hasNewName() {
}
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17081,7 +17081,7 @@ public java.lang.String getNewName() {
}
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17545,7 +17545,7 @@ public Builder setExperimentIdBytes(
private java.lang.Object newName_ = "";
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17555,7 +17555,7 @@ public boolean hasNewName() {
}
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17576,7 +17576,7 @@ public java.lang.String getNewName() {
}
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17596,7 +17596,7 @@ public java.lang.String getNewName() {
}
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17613,7 +17613,7 @@ public Builder setNewName(
}
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17626,7 +17626,7 @@ public Builder clearNewName() {
}
/**
*
- * If provided, the experiment's name will be changed to this. The new name must be unique.
+ * If provided, the experiment's name is changed to the new name. The new name must be unique.
*
*
* optional string new_name = 2;
@@ -17752,7 +17752,7 @@ public interface CreateRunOrBuilder extends
/**
*
- * Unix timestamp of when the run started in milliseconds.
+ * Unix timestamp in milliseconds of when the run started.
*
*
* optional int64 start_time = 7;
@@ -17760,7 +17760,7 @@ public interface CreateRunOrBuilder extends
boolean hasStartTime();
/**
*
- * Unix timestamp of when the run started in milliseconds.
+ * Unix timestamp in milliseconds of when the run started.
*
*
* optional int64 start_time = 7;
@@ -18705,7 +18705,7 @@ public java.lang.String getUserId() {
private long startTime_;
/**
*
- * Unix timestamp of when the run started in milliseconds.
+ * Unix timestamp in milliseconds of when the run started.
*
*
* optional int64 start_time = 7;
@@ -18715,7 +18715,7 @@ public boolean hasStartTime() {
}
/**
*
- * Unix timestamp of when the run started in milliseconds.
+ * Unix timestamp in milliseconds of when the run started.
*
*
* optional int64 start_time = 7;
@@ -19405,7 +19405,7 @@ public Builder setUserIdBytes(
private long startTime_ ;
/**
*
- * Unix timestamp of when the run started in milliseconds.
+ * Unix timestamp in milliseconds of when the run started.
*
*
* optional int64 start_time = 7;
@@ -19415,7 +19415,7 @@ public boolean hasStartTime() {
}
/**
*
- * Unix timestamp of when the run started in milliseconds.
+ * Unix timestamp in milliseconds of when the run started.
*
*
* optional int64 start_time = 7;
@@ -19425,7 +19425,7 @@ public long getStartTime() {
}
/**
*
- * Unix timestamp of when the run started in milliseconds.
+ * Unix timestamp in milliseconds of when the run started.
*
*
* optional int64 start_time = 7;
@@ -19438,7 +19438,7 @@ public Builder setStartTime(long value) {
}
/**
*
- * Unix timestamp of when the run started in milliseconds.
+ * Unix timestamp in milliseconds of when the run started.
*
*
* optional int64 start_time = 7;
@@ -19892,7 +19892,7 @@ public interface UpdateRunOrBuilder extends
/**
*
- *Unix timestamp of when the run ended in milliseconds.
+ *Unix timestamp in milliseconds of when the run ended.
*
*
* optional int64 end_time = 3;
@@ -19900,7 +19900,7 @@ public interface UpdateRunOrBuilder extends
boolean hasEndTime();
/**
*
- *Unix timestamp of when the run ended in milliseconds.
+ *Unix timestamp in milliseconds of when the run ended.
*
*
* optional int64 end_time = 3;
@@ -20829,7 +20829,7 @@ public org.mlflow.api.proto.Service.RunStatus getStatus() {
private long endTime_;
/**
*
- *Unix timestamp of when the run ended in milliseconds.
+ *Unix timestamp in milliseconds of when the run ended.
*
*
* optional int64 end_time = 3;
@@ -20839,7 +20839,7 @@ public boolean hasEndTime() {
}
/**
*
- *Unix timestamp of when the run ended in milliseconds.
+ *Unix timestamp in milliseconds of when the run ended.
*
*
* optional int64 end_time = 3;
@@ -21502,7 +21502,7 @@ public Builder clearStatus() {
private long endTime_ ;
/**
*
- *Unix timestamp of when the run ended in milliseconds.
+ *Unix timestamp in milliseconds of when the run ended.
*
*
* optional int64 end_time = 3;
@@ -21512,7 +21512,7 @@ public boolean hasEndTime() {
}
/**
*
- *Unix timestamp of when the run ended in milliseconds.
+ *Unix timestamp in milliseconds of when the run ended.
*
*
* optional int64 end_time = 3;
@@ -21522,7 +21522,7 @@ public long getEndTime() {
}
/**
*
- *Unix timestamp of when the run ended in milliseconds.
+ *Unix timestamp in milliseconds of when the run ended.
*
*
* optional int64 end_time = 3;
@@ -21535,7 +21535,7 @@ public Builder setEndTime(long value) {
}
/**
*
- *Unix timestamp of when the run ended in milliseconds.
+ *Unix timestamp in milliseconds of when the run ended.
*
*
* optional int64 end_time = 3;
@@ -21604,14 +21604,26 @@ public interface DeleteRunOrBuilder extends
com.google.protobuf.MessageOrBuilder {
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
boolean hasRunId();
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
java.lang.String getRunId();
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
com.google.protobuf.ByteString
@@ -22111,12 +22123,20 @@ public org.mlflow.api.proto.Service.DeleteRun.Response getDefaultInstanceForType
public static final int RUN_ID_FIELD_NUMBER = 1;
private volatile java.lang.Object runId_;
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public boolean hasRunId() {
return ((bitField0_ & 0x00000001) == 0x00000001);
}
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public java.lang.String getRunId() {
@@ -22134,6 +22154,10 @@ public java.lang.String getRunId() {
}
}
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public com.google.protobuf.ByteString
@@ -22468,12 +22492,20 @@ public Builder mergeFrom(
private java.lang.Object runId_ = "";
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public boolean hasRunId() {
return ((bitField0_ & 0x00000001) == 0x00000001);
}
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public java.lang.String getRunId() {
@@ -22491,6 +22523,10 @@ public java.lang.String getRunId() {
}
}
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public com.google.protobuf.ByteString
@@ -22507,6 +22543,10 @@ public java.lang.String getRunId() {
}
}
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public Builder setRunId(
@@ -22520,6 +22560,10 @@ public Builder setRunId(
return this;
}
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public Builder clearRunId() {
@@ -22529,6 +22573,10 @@ public Builder clearRunId() {
return this;
}
/**
+ *
+ * ID of the run to delete.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public Builder setRunIdBytes(
@@ -22599,14 +22647,26 @@ public interface RestoreRunOrBuilder extends
com.google.protobuf.MessageOrBuilder {
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
boolean hasRunId();
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
java.lang.String getRunId();
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
com.google.protobuf.ByteString
@@ -23106,12 +23166,20 @@ public org.mlflow.api.proto.Service.RestoreRun.Response getDefaultInstanceForTyp
public static final int RUN_ID_FIELD_NUMBER = 1;
private volatile java.lang.Object runId_;
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public boolean hasRunId() {
return ((bitField0_ & 0x00000001) == 0x00000001);
}
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public java.lang.String getRunId() {
@@ -23129,6 +23197,10 @@ public java.lang.String getRunId() {
}
}
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public com.google.protobuf.ByteString
@@ -23463,12 +23535,20 @@ public Builder mergeFrom(
private java.lang.Object runId_ = "";
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public boolean hasRunId() {
return ((bitField0_ & 0x00000001) == 0x00000001);
}
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public java.lang.String getRunId() {
@@ -23486,6 +23566,10 @@ public java.lang.String getRunId() {
}
}
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public com.google.protobuf.ByteString
@@ -23502,6 +23586,10 @@ public java.lang.String getRunId() {
}
}
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public Builder setRunId(
@@ -23515,6 +23603,10 @@ public Builder setRunId(
return this;
}
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public Builder clearRunId() {
@@ -23524,6 +23616,10 @@ public Builder clearRunId() {
return this;
}
/**
+ *
+ * ID of the run to restore.
+ *
+ *
* optional string run_id = 1 [(.mlflow.validate_required) = true];
*/
public Builder setRunIdBytes(
@@ -28970,7 +29066,7 @@ public interface ResponseOrBuilder extends
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -28978,7 +29074,7 @@ public interface ResponseOrBuilder extends
boolean hasRun();
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -28986,7 +29082,7 @@ public interface ResponseOrBuilder extends
org.mlflow.api.proto.Service.Run getRun();
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29082,7 +29178,7 @@ private Response(
private org.mlflow.api.proto.Service.Run run_;
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29092,7 +29188,7 @@ public boolean hasRun() {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29102,7 +29198,7 @@ public org.mlflow.api.proto.Service.Run getRun() {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29440,7 +29536,7 @@ public Builder mergeFrom(
org.mlflow.api.proto.Service.Run, org.mlflow.api.proto.Service.Run.Builder, org.mlflow.api.proto.Service.RunOrBuilder> runBuilder_;
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29450,7 +29546,7 @@ public boolean hasRun() {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29464,7 +29560,7 @@ public org.mlflow.api.proto.Service.Run getRun() {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29484,7 +29580,7 @@ public Builder setRun(org.mlflow.api.proto.Service.Run value) {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29502,7 +29598,7 @@ public Builder setRun(
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29526,7 +29622,7 @@ public Builder mergeRun(org.mlflow.api.proto.Service.Run value) {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29543,7 +29639,7 @@ public Builder clearRun() {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29555,7 +29651,7 @@ public org.mlflow.api.proto.Service.Run.Builder getRunBuilder() {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -29570,7 +29666,7 @@ public org.mlflow.api.proto.Service.RunOrBuilder getRunOrBuilder() {
}
/**
*
- * Run metadata (name, start time, etc) and data (metrics, params, etc).
+ * Run metadata (name, start time, etc) and data (metrics, params, and tags).
*
*
* optional .mlflow.Run run = 1;
@@ -30394,18 +30490,17 @@ public interface SearchRunsOrBuilder extends
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -30413,18 +30508,17 @@ public interface SearchRunsOrBuilder extends
boolean hasFilter();
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -30432,18 +30526,17 @@ public interface SearchRunsOrBuilder extends
java.lang.String getFilter();
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -31541,18 +31634,17 @@ public java.lang.String getExperimentIds(int index) {
private volatile java.lang.Object filter_;
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -31562,18 +31654,17 @@ public boolean hasFilter() {
}
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -31594,18 +31685,17 @@ public java.lang.String getFilter() {
}
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -32205,18 +32295,17 @@ public Builder addExperimentIdsBytes(
private java.lang.Object filter_ = "";
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -32226,18 +32315,17 @@ public boolean hasFilter() {
}
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -32258,18 +32346,17 @@ public java.lang.String getFilter() {
}
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -32289,18 +32376,17 @@ public java.lang.String getFilter() {
}
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -32317,18 +32403,17 @@ public Builder setFilter(
}
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -32341,18 +32426,17 @@ public Builder clearFilter() {
}
/**
*
- * A filter expression over params, metrics, and tags, allowing returning a subset of
- * runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- * between a param/metric/tag and a constant.
+ * A filter expression over params, metrics, and tags, that allows returning a subset of
+ * runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ * between a param, metric, or tag and a constant.
* Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
- * You can also select columns with spaces by using backticks or double quotes:
- * ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
- * Supported operators are =, !=, >, >=, <, <=, and LIKE.
- * LIKE syntax: ``params.model_class LIKE 'Linear%'``
- * 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ * You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ * ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ * Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
+ * You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
* error will be returned if both are specified.
- * If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- * will be returned.
+ * If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ *
*
*
* optional string filter = 4;
@@ -40432,70 +40516,88 @@ public org.mlflow.api.proto.Service.LogBatch getDefaultInstanceForType() {
"pe\022\014\n\010NOTEBOOK\020\001\022\007\n\003JOB\020\002\022\013\n\007PROJECT\020\003\022\t" +
"\n\005LOCAL\020\004\022\014\n\007UNKNOWN\020\350\007*M\n\tRunStatus\022\013\n\007" +
"RUNNING\020\001\022\r\n\tSCHEDULED\020\002\022\014\n\010FINISHED\020\003\022\n" +
- "\n\006FAILED\020\004\022\n\n\006KILLED\020\0052\271\023\n\rMlflowService" +
- "\022\234\001\n\020createExperiment\022\030.mlflow.CreateExp" +
+ "\n\006FAILED\020\004\022\n\n\006KILLED\020\0052\214\031\n\rMlflowService" +
+ "\022\306\001\n\020createExperiment\022\030.mlflow.CreateExp" +
"eriment\032!.mlflow.CreateExperiment.Respon" +
- "se\"K\362\206\031G\n0\n\004POST\022\"/preview/mlflow/experi" +
- "ments/create\032\004\010\002\020\000\020\001*\021Create Experiment\022" +
- "\225\001\n\017listExperiments\022\027.mlflow.ListExperim" +
- "ents\032 .mlflow.ListExperiments.Response\"G" +
- "\362\206\031C\n-\n\003GET\022 /preview/mlflow/experiments" +
- "/list\032\004\010\002\020\000\020\001*\020List Experiments\022\214\001\n\rgetE" +
- "xperiment\022\025.mlflow.GetExperiment\032\036.mlflo" +
- "w.GetExperiment.Response\"D\362\206\031@\n,\n\003GET\022\037/" +
- "preview/mlflow/experiments/get\032\004\010\002\020\000\020\001*\016" +
- "Get Experiment\022\234\001\n\020deleteExperiment\022\030.ml" +
- "flow.DeleteExperiment\032!.mlflow.DeleteExp" +
- "eriment.Response\"K\362\206\031G\n0\n\004POST\022\"/preview" +
- "/mlflow/experiments/delete\032\004\010\002\020\000\020\001*\021Dele" +
- "te Experiment\022\241\001\n\021restoreExperiment\022\031.ml" +
- "flow.RestoreExperiment\032\".mlflow.RestoreE" +
- "xperiment.Response\"M\362\206\031I\n1\n\004POST\022#/previ" +
- "ew/mlflow/experiments/restore\032\004\010\002\020\000\020\001*\022R" +
- "estore Experiment\022\234\001\n\020updateExperiment\022\030" +
- ".mlflow.UpdateExperiment\032!.mlflow.Update" +
- "Experiment.Response\"K\362\206\031G\n0\n\004POST\022\"/prev" +
- "iew/mlflow/experiments/update\032\004\010\002\020\000\020\001*\021U" +
- "pdate Experiment\022y\n\tcreateRun\022\021.mlflow.C" +
- "reateRun\032\032.mlflow.CreateRun.Response\"=\362\206" +
- "\0319\n)\n\004POST\022\033/preview/mlflow/runs/create\032" +
- "\004\010\002\020\000\020\001*\nCreate Run\022y\n\tupdateRun\022\021.mlflo" +
- "w.UpdateRun\032\032.mlflow.UpdateRun.Response\"" +
- "=\362\206\0319\n)\n\004POST\022\033/preview/mlflow/runs/upda" +
- "te\032\004\010\002\020\000\020\001*\nUpdate Run\022m\n\tdeleteRun\022\021.ml" +
- "flow.DeleteRun\032\032.mlflow.DeleteRun.Respon" +
- "se\"1\362\206\031-\n)\n\004POST\022\033/preview/mlflow/runs/d" +
- "elete\032\004\010\002\020\000\020\001\022q\n\nrestoreRun\022\022.mlflow.Res" +
- "toreRun\032\033.mlflow.RestoreRun.Response\"2\362\206" +
- "\031.\n*\n\004POST\022\034/preview/mlflow/runs/restore" +
- "\032\004\010\002\020\000\020\001\022}\n\tlogMetric\022\021.mlflow.LogMetric" +
- "\032\032.mlflow.LogMetric.Response\"A\362\206\031=\n-\n\004PO" +
- "ST\022\037/preview/mlflow/runs/log-metric\032\004\010\002\020" +
- "\000\020\001*\nLog Metric\022|\n\010logParam\022\020.mlflow.Log" +
- "Param\032\031.mlflow.LogParam.Response\"C\362\206\031?\n0" +
- "\n\004POST\022\"/preview/mlflow/runs/log-paramet" +
- "er\032\004\010\002\020\000\020\001*\tLog Param\022n\n\006setTag\022\016.mlflow" +
- ".SetTag\032\027.mlflow.SetTag.Response\";\362\206\0317\n*" +
- "\n\004POST\022\034/preview/mlflow/runs/set-tag\032\004\010\002" +
- "\020\000\020\001*\007Set Tag\022i\n\006getRun\022\016.mlflow.GetRun\032" +
- "\027.mlflow.GetRun.Response\"6\362\206\0312\n%\n\003GET\022\030/" +
- "preview/mlflow/runs/get\032\004\010\002\020\000\020\001*\007Get Run" +
- "\022\247\001\n\nsearchRuns\022\022.mlflow.SearchRuns\032\033.ml" +
- "flow.SearchRuns.Response\"h\362\206\031d\n)\n\004POST\022\033" +
- "/preview/mlflow/runs/search\032\004\010\002\020\000\n(\n\003GET" +
- "\022\033/preview/mlflow/runs/search\032\004\010\002\020\000\020\001*\013S" +
- "earch Runs\022\213\001\n\rlistArtifacts\022\025.mlflow.Li" +
- "stArtifacts\032\036.mlflow.ListArtifacts.Respo" +
- "nse\"C\362\206\031?\n+\n\003GET\022\036/preview/mlflow/artifa" +
- "cts/list\032\004\010\002\020\000\020\001*\016List Artifacts\022\235\001\n\020get" +
- "MetricHistory\022\030.mlflow.GetMetricHistory\032" +
- "!.mlflow.GetMetricHistory.Response\"L\362\206\031H" +
- "\n0\n\003GET\022#/preview/mlflow/metrics/get-his" +
- "tory\032\004\010\002\020\000\020\001*\022Get Metric History\022x\n\010logB" +
- "atch\022\020.mlflow.LogBatch\032\031.mlflow.LogBatch" +
- ".Response\"?\362\206\031;\n,\n\004POST\022\036/preview/mlflow" +
- "/runs/log-batch\032\004\010\002\020\000\020\001*\tLog BatchB\036\n\024or" +
- "g.mlflow.api.proto\220\001\001\342?\002\020\001"
+ "se\"u\362\206\031q\n(\n\004POST\022\032/mlflow/experiments/cr" +
+ "eate\032\004\010\002\020\000\n0\n\004POST\022\"/preview/mlflow/expe" +
+ "riments/create\032\004\010\002\020\000\020\001*\021Create Experimen" +
+ "t\022\274\001\n\017listExperiments\022\027.mlflow.ListExper" +
+ "iments\032 .mlflow.ListExperiments.Response" +
+ "\"n\362\206\031j\n%\n\003GET\022\030/mlflow/experiments/list\032" +
+ "\004\010\002\020\000\n-\n\003GET\022 /preview/mlflow/experiment" +
+ "s/list\032\004\010\002\020\000\020\001*\020List Experiments\022\262\001\n\rget" +
+ "Experiment\022\025.mlflow.GetExperiment\032\036.mlfl" +
+ "ow.GetExperiment.Response\"j\362\206\031f\n$\n\003GET\022\027" +
+ "/mlflow/experiments/get\032\004\010\002\020\000\n,\n\003GET\022\037/p" +
+ "review/mlflow/experiments/get\032\004\010\002\020\000\020\001*\016G" +
+ "et Experiment\022\306\001\n\020deleteExperiment\022\030.mlf" +
+ "low.DeleteExperiment\032!.mlflow.DeleteExpe" +
+ "riment.Response\"u\362\206\031q\n(\n\004POST\022\032/mlflow/e" +
+ "xperiments/delete\032\004\010\002\020\000\n0\n\004POST\022\"/previe" +
+ "w/mlflow/experiments/delete\032\004\010\002\020\000\020\001*\021Del" +
+ "ete Experiment\022\314\001\n\021restoreExperiment\022\031.m" +
+ "lflow.RestoreExperiment\032\".mlflow.Restore" +
+ "Experiment.Response\"x\362\206\031t\n)\n\004POST\022\033/mlfl" +
+ "ow/experiments/restore\032\004\010\002\020\000\n1\n\004POST\022#/p" +
+ "review/mlflow/experiments/restore\032\004\010\002\020\000\020" +
+ "\001*\022Restore Experiment\022\306\001\n\020updateExperime" +
+ "nt\022\030.mlflow.UpdateExperiment\032!.mlflow.Up" +
+ "dateExperiment.Response\"u\362\206\031q\n(\n\004POST\022\032/" +
+ "mlflow/experiments/update\032\004\010\002\020\000\n0\n\004POST\022" +
+ "\"/preview/mlflow/experiments/update\032\004\010\002\020" +
+ "\000\020\001*\021Update Experiment\022\234\001\n\tcreateRun\022\021.m" +
+ "lflow.CreateRun\032\032.mlflow.CreateRun.Respo" +
+ "nse\"`\362\206\031\\\n!\n\004POST\022\023/mlflow/runs/create\032\004" +
+ "\010\002\020\000\n)\n\004POST\022\033/preview/mlflow/runs/creat" +
+ "e\032\004\010\002\020\000\020\001*\nCreate Run\022\234\001\n\tupdateRun\022\021.ml" +
+ "flow.UpdateRun\032\032.mlflow.UpdateRun.Respon" +
+ "se\"`\362\206\031\\\n!\n\004POST\022\023/mlflow/runs/update\032\004\010" +
+ "\002\020\000\n)\n\004POST\022\033/preview/mlflow/runs/update" +
+ "\032\004\010\002\020\000\020\001*\nUpdate Run\022\234\001\n\tdeleteRun\022\021.mlf" +
+ "low.DeleteRun\032\032.mlflow.DeleteRun.Respons" +
+ "e\"`\362\206\031\\\n!\n\004POST\022\023/mlflow/runs/delete\032\004\010\002" +
+ "\020\000\n)\n\004POST\022\033/preview/mlflow/runs/delete\032" +
+ "\004\010\002\020\000\020\001*\nDelete Run\022\242\001\n\nrestoreRun\022\022.mlf" +
+ "low.RestoreRun\032\033.mlflow.RestoreRun.Respo" +
+ "nse\"c\362\206\031_\n\"\n\004POST\022\024/mlflow/runs/restore\032" +
+ "\004\010\002\020\000\n*\n\004POST\022\034/preview/mlflow/runs/rest" +
+ "ore\032\004\010\002\020\000\020\001*\013Restore Run\022\244\001\n\tlogMetric\022\021" +
+ ".mlflow.LogMetric\032\032.mlflow.LogMetric.Res" +
+ "ponse\"h\362\206\031d\n%\n\004POST\022\027/mlflow/runs/log-me" +
+ "tric\032\004\010\002\020\000\n-\n\004POST\022\037/preview/mlflow/runs" +
+ "/log-metric\032\004\010\002\020\000\020\001*\nLog Metric\022\246\001\n\010logP" +
+ "aram\022\020.mlflow.LogParam\032\031.mlflow.LogParam" +
+ ".Response\"m\362\206\031i\n(\n\004POST\022\032/mlflow/runs/lo" +
+ "g-parameter\032\004\010\002\020\000\n0\n\004POST\022\"/preview/mlfl" +
+ "ow/runs/log-parameter\032\004\010\002\020\000\020\001*\tLog Param" +
+ "\022\222\001\n\006setTag\022\016.mlflow.SetTag\032\027.mlflow.Set" +
+ "Tag.Response\"_\362\206\031[\n\"\n\004POST\022\024/mlflow/runs" +
+ "/set-tag\032\004\010\002\020\000\n*\n\004POST\022\034/preview/mlflow/" +
+ "runs/set-tag\032\004\010\002\020\000\020\001*\007Set Tag\022\210\001\n\006getRun" +
+ "\022\016.mlflow.GetRun\032\027.mlflow.GetRun.Respons" +
+ "e\"U\362\206\031Q\n\035\n\003GET\022\020/mlflow/runs/get\032\004\010\002\020\000\n%" +
+ "\n\003GET\022\030/preview/mlflow/runs/get\032\004\010\002\020\000\020\001*" +
+ "\007Get Run\022\314\001\n\nsearchRuns\022\022.mlflow.SearchR" +
+ "uns\032\033.mlflow.SearchRuns.Response\"\214\001\362\206\031\207\001" +
+ "\n!\n\004POST\022\023/mlflow/runs/search\032\004\010\002\020\000\n)\n\004P" +
+ "OST\022\033/preview/mlflow/runs/search\032\004\010\002\020\000\n(" +
+ "\n\003GET\022\033/preview/mlflow/runs/search\032\004\010\002\020\000" +
+ "\020\001*\013Search Runs\022\260\001\n\rlistArtifacts\022\025.mlfl" +
+ "ow.ListArtifacts\032\036.mlflow.ListArtifacts." +
+ "Response\"h\362\206\031d\n#\n\003GET\022\026/mlflow/artifacts" +
+ "/list\032\004\010\002\020\000\n+\n\003GET\022\036/preview/mlflow/arti" +
+ "facts/list\032\004\010\002\020\000\020\001*\016List Artifacts\022\307\001\n\020g" +
+ "etMetricHistory\022\030.mlflow.GetMetricHistor" +
+ "y\032!.mlflow.GetMetricHistory.Response\"v\362\206" +
+ "\031r\n(\n\003GET\022\033/mlflow/metrics/get-history\032\004" +
+ "\010\002\020\000\n0\n\003GET\022#/preview/mlflow/metrics/get" +
+ "-history\032\004\010\002\020\000\020\001*\022Get Metric History\022\236\001\n" +
+ "\010logBatch\022\020.mlflow.LogBatch\032\031.mlflow.Log" +
+ "Batch.Response\"e\362\206\031a\n$\n\004POST\022\026/mlflow/ru" +
+ "ns/log-batch\032\004\010\002\020\000\n,\n\004POST\022\036/preview/mlf" +
+ "low/runs/log-batch\032\004\010\002\020\000\020\001*\tLog BatchB\036\n" +
+ "\024org.mlflow.api.proto\220\001\001\342?\002\020\001"
};
com.google.protobuf.Descriptors.FileDescriptor.InternalDescriptorAssigner assigner =
new com.google.protobuf.Descriptors.FileDescriptor. InternalDescriptorAssigner() {
diff --git a/mlflow/protos/service.proto b/mlflow/protos/service.proto
index 8e05d6309ba0a..e78f349a06a56 100644
--- a/mlflow/protos/service.proto
+++ b/mlflow/protos/service.proto
@@ -22,6 +22,10 @@ service MlflowService {
rpc createExperiment (CreateExperiment) returns (CreateExperiment.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/experiments/create"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/experiments/create"
since { major: 2, minor: 0 },
@@ -36,6 +40,10 @@ service MlflowService {
rpc listExperiments (ListExperiments) returns (ListExperiments.Response) {
option (rpc) = {
endpoints: [{
+ method: "GET",
+ path: "/mlflow/experiments/list"
+ since { major: 2, minor: 0 },
+ }, {
method: "GET",
path: "/preview/mlflow/experiments/list"
since { major: 2, minor: 0 },
@@ -46,10 +54,14 @@ service MlflowService {
}
// Get metadata for an experiment and a list of runs for the experiment.
- // This RPC will work on deleted experiments.
+ // This method works on deleted experiments.
rpc getExperiment (GetExperiment) returns (GetExperiment.Response) {
option (rpc) = {
endpoints: [{
+ method: "GET",
+ path: "/mlflow/experiments/get"
+ since { major: 2, minor: 0 },
+ }, {
method: "GET",
path: "/preview/mlflow/experiments/get"
since { major: 2, minor: 0 },
@@ -59,12 +71,16 @@ service MlflowService {
};
}
- // Mark an experiment and associated runs, params, metrics, ... etc for deletion.
+ // Mark an experiment and associated metadata, runs, metrics, params, and tags for deletion.
// If the experiment uses FileStore, artifacts associated with experiment are also deleted.
//
rpc deleteExperiment (DeleteExperiment) returns (DeleteExperiment.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/experiments/delete"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/experiments/delete"
since { major: 2, minor: 0 },
@@ -75,7 +91,7 @@ service MlflowService {
}
// Restore an experiment marked for deletion. This also restores
- // associated metadata, runs, metrics, and params. If experiment uses FileStore, underlying
+ // associated metadata, runs, metrics, params, and tags. If experiment uses FileStore, underlying
// artifacts associated with experiment are also restored.
//
// Throws ``RESOURCE_DOES_NOT_EXIST`` if experiment was never created or was permanently deleted.
@@ -83,6 +99,10 @@ service MlflowService {
rpc restoreExperiment (RestoreExperiment) returns (RestoreExperiment.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/experiments/restore"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/experiments/restore"
since { major: 2, minor: 0 },
@@ -92,11 +112,15 @@ service MlflowService {
};
}
- // Updates an experiment metadata.
+ // Update experiment metadata.
//
rpc updateExperiment (UpdateExperiment) returns (UpdateExperiment.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/experiments/update"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/experiments/update"
since { major: 2, minor: 0 },
@@ -113,6 +137,10 @@ service MlflowService {
rpc createRun(CreateRun) returns (CreateRun.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/create"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/create"
since { major: 2, minor: 0 },
@@ -128,6 +156,10 @@ service MlflowService {
rpc updateRun(UpdateRun) returns (UpdateRun.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/update"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/update"
since { major: 2, minor: 0 },
@@ -138,15 +170,20 @@ service MlflowService {
};
}
- // This operation will mark the run for deletion.
+ // Mark a run for deletion.
rpc deleteRun(DeleteRun) returns (DeleteRun.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/delete"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/delete"
since { major: 2, minor: 0 },
}],
visibility: PUBLIC,
+ rpc_doc_title: "Delete Run",
};
}
@@ -154,11 +191,16 @@ service MlflowService {
rpc restoreRun(RestoreRun) returns (RestoreRun.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/restore"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/restore"
since { major: 2, minor: 0 },
}],
visibility: PUBLIC,
+ rpc_doc_title: "Restore Run",
};
}
@@ -169,6 +211,10 @@ service MlflowService {
rpc logMetric(LogMetric) returns (LogMetric.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/log-metric"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/log-metric"
since { major: 2, minor: 0 },
@@ -186,6 +232,10 @@ service MlflowService {
rpc logParam(LogParam) returns (LogParam.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/log-parameter"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/log-parameter"
since { major: 2, minor: 0 },
@@ -202,6 +252,10 @@ service MlflowService {
rpc setTag(SetTag) returns (SetTag.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/set-tag"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/set-tag"
since { major: 2, minor: 0 },
@@ -212,12 +266,16 @@ service MlflowService {
};
}
- // Get metadata, params, tags, and metrics for a run. In the case where multiple metrics
+ // Get metadata, metrics, params, and tags for a run. In the case where multiple metrics
// with the same key are logged for a run, return only the value with the latest timestamp.
// If there are multiple values with the latest timestamp, return the maximum of these values.
rpc getRun (GetRun) returns (GetRun.Response) {
option (rpc) = {
endpoints: [{
+ method: "GET",
+ path: "/mlflow/runs/get"
+ since { major: 2, minor: 0 },
+ }, {
method: "GET",
path: "/preview/mlflow/runs/get"
since { major: 2, minor: 0 },
@@ -234,6 +292,10 @@ service MlflowService {
rpc searchRuns (SearchRuns) returns (SearchRuns.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/search"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/search"
since { major: 2, minor: 0 },
@@ -253,6 +315,10 @@ service MlflowService {
rpc listArtifacts (ListArtifacts) returns (ListArtifacts.Response) {
option (rpc) = {
endpoints: [{
+ method: "GET",
+ path: "/mlflow/artifacts/list"
+ since { major: 2, minor: 0 },
+ }, {
method: "GET",
path: "/preview/mlflow/artifacts/list"
since { major: 2, minor: 0 },
@@ -267,6 +333,10 @@ service MlflowService {
rpc getMetricHistory (GetMetricHistory) returns (GetMetricHistory.Response) {
option (rpc) = {
endpoints: [{
+ method: "GET",
+ path: "/mlflow/metrics/get-history"
+ since { major: 2, minor: 0 },
+ }, {
method: "GET",
path: "/preview/mlflow/metrics/get-history"
since { major: 2, minor: 0 },
@@ -276,42 +346,38 @@ service MlflowService {
};
}
- // Log a batch of metrics, params, and/or tags for a run.
- // The server will respond with an error (non-200 status code) if any data failed to be persisted.
+ // Log a batch of metrics, params, and tags for a run.
+ // If any data failed to be persisted, the server will respond with an error (non-200 status code).
// In case of error (due to internal server error or an invalid request), partial data may
// be written.
//
- // Metrics, params, and tags may be written in interleaving fashion, but within a given entity
- // type, are guaranteed to follow the order specified in the request body. That is, for an API
- // request like:
- //
- // {
- // "run_id": "2a14ed5c6a87499199e0106c3501eab8",
- // "metrics": [
- // {"key": "mae", "value": 2.5, "timestamp": 1552550804},
- // {"key": "rmse", "value": 2.7, "timestamp": 1552550804},
- // ],
- // "params": [
- // {"key": "model_class", "value": "LogisticRegression"},
- // ]
- // }
- //
- // The server is guaranteed to write metric "rmse" after "mae", though it may write param
+ // You can write metrics, params, and tags in interleaving fashion, but within a given entity
+ // type are guaranteed to follow the order specified in the request body. That is, for an API
+ // request like
+ //
+ // .. code-block:: json
+ //
+ // {
+ // "run_id": "2a14ed5c6a87499199e0106c3501eab8",
+ // "metrics": [
+ // {"key": "mae", "value": 2.5, "timestamp": 1552550804},
+ // {"key": "rmse", "value": 2.7, "timestamp": 1552550804},
+ // ],
+ // "params": [
+ // {"key": "model_class", "value": "LogisticRegression"},
+ // ]
+ // }
+ //
+ // the server is guaranteed to write metric "rmse" after "mae", though it may write param
// "model_class" before both metrics, after "mae", or after both metrics.
//
// The overwrite behavior for metrics, params, and tags is as follows:
//
- // Metrics: metric values are never overwritten. Logging a metric (key, value, timestamp)
- // appends to the set of values for the metric with the provided key.
+ // - Metrics: metric values are never overwritten. Logging a metric (key, value, timestamp) appends to the set of values for the metric with the provided key.
//
- // Tags: tag values may be overwritten by successive writes to the same tag key. That is, if
- // multiple tag values with the same key are provided in the same API request, the last-provided
- // tag value is written. Logging the same tag (key, value) is permitted - that is, logging a tag
- // is idempotent.
+ // - Tags: tag values can be overwritten by successive writes to the same tag key. That is, if multiple tag values with the same key are provided in the same API request, the last-provided tag value is written. Logging the same tag (key, value) is permitted - that is, logging a tag is idempotent.
//
- // Params: once written, param values may not be changed (attempting to overwrite a param value
- // will result in an error). However, logging the same param (key, value) is permitted - that is,
- // logging a param is idempotent.
+ // - Params: once written, param values cannot be changed (attempting to overwrite a param value will result in an error). However, logging the same param (key, value) is permitted - that is, logging a param is idempotent.
//
// Request Limits
// --------------
@@ -323,15 +389,19 @@ service MlflowService {
// - Up to 100 tags
//
// For example, a valid request might contain 900 metrics, 50 params, and 50 tags, but logging
- // 900 metrics, 50 params, and 51 tags would be invalid. The following limits also apply
- // to metric, param, and tag keys & values:
+ // 900 metrics, 50 params, and 51 tags is invalid. The following limits also apply
+ // to metric, param, and tag keys and values:
//
- // - Metric, param, and tag keys may be up to 250 characters in length
- // - Param and tag values may be up to 250 characters in length
+ // - Metric, param, and tag keys can be up to 250 characters in length
+ // - Param and tag values can be up to 250 characters in length
//
rpc logBatch (LogBatch) returns (LogBatch.Response) {
option (rpc) = {
endpoints: [{
+ method: "POST",
+ path: "/mlflow/runs/log-batch"
+ since { major: 2, minor: 0 },
+ }, {
method: "POST",
path: "/preview/mlflow/runs/log-batch"
since { major: 2, minor: 0 },
@@ -422,7 +492,7 @@ message Run {
optional RunData data = 2;
}
-// Run data (metrics, params, etc).
+// Run data (metrics, params, and tags).
message RunData {
// Run metrics.
repeated Metric metrics = 1;
@@ -521,7 +591,7 @@ message ListExperiments {
optional ViewType view_type = 1;
message Response {
- // All experiments
+ // All experiments.
repeated Experiment experiments = 1;
}
}
@@ -533,7 +603,7 @@ message GetExperiment {
optional string experiment_id = 1 [(validate_required) = true];
message Response {
- // Returns experiment details.
+ // Experiment details.
optional Experiment experiment = 1;
// All (max limit to be imposed) active runs associated with this experiment.
@@ -554,7 +624,7 @@ message DeleteExperiment {
message RestoreExperiment {
option (scalapb.message).extends = "com.databricks.rpc.RPC[$this.Response]";
- // Identifier to get an experiment
+ // ID of the associated experiment.
optional string experiment_id = 1 [(validate_required) = true];
message Response {
@@ -567,7 +637,7 @@ message UpdateExperiment {
// ID of the associated experiment.
optional string experiment_id = 1 [(validate_required) = true];
- // If provided, the experiment's name will be changed to this. The new name must be unique.
+ // If provided, the experiment's name is changed to the new name. The new name must be unique.
optional string new_name = 2;
message Response {
@@ -583,7 +653,7 @@ message CreateRun {
// ID of the user executing the run.
optional string user_id = 2;
- // Unix timestamp of when the run started in milliseconds.
+ // Unix timestamp in milliseconds of when the run started.
optional int64 start_time = 7;
// Additional metadata for run.
@@ -608,7 +678,7 @@ message UpdateRun {
// Updated status of the run.
optional RunStatus status = 2;
- //Unix timestamp of when the run ended in milliseconds.
+ //Unix timestamp in milliseconds of when the run ended.
optional int64 end_time = 3;
message Response {
@@ -620,6 +690,7 @@ message UpdateRun {
message DeleteRun {
option (scalapb.message).extends = "com.databricks.rpc.RPC[$this.Response]";
+ // ID of the run to delete.
optional string run_id = 1 [(validate_required) = true];
message Response {}
@@ -628,6 +699,7 @@ message DeleteRun {
message RestoreRun {
option (scalapb.message).extends = "com.databricks.rpc.RPC[$this.Response]";
+ // ID of the run to restore.
optional string run_id = 1 [(validate_required) = true];
message Response {}
@@ -711,7 +783,7 @@ message GetRun {
optional string run_id = 2;
message Response {
- // Run metadata (name, start time, etc) and data (metrics, params, etc).
+ // Run metadata (name, start time, etc) and data (metrics, params, and tags).
optional Run run = 1;
}
}
@@ -722,22 +794,22 @@ message SearchRuns {
// List of experiment IDs to search over.
repeated string experiment_ids = 1;
- // A filter expression over params, metrics, and tags, allowing returning a subset of
- // runs. The syntax is a subset of SQL which allows only ANDing together binary operations
- // between a param/metric/tag and a constant.
+ // A filter expression over params, metrics, and tags, that allows returning a subset of
+ // runs. The syntax is a subset of SQL that supports ANDing together binary operations
+ // between a param, metric, or tag and a constant.
//
// Example: ``metrics.rmse < 1 and params.model_class = 'LogisticRegression'``
//
- // You can also select columns with spaces by using backticks or double quotes:
- // ``metrics.`model class` = 'LinearRegression' and tags."user name" = 'Tomas'``
//
- // Supported operators are =, !=, >, >=, <, <=, and LIKE.
- // LIKE syntax: ``params.model_class LIKE 'Linear%'``
+ // You can select columns with special characters (hyphen, space, period, etc.) by using double quotes:
+ // ``metrics."model class" = 'LinearRegression' and tags."user-name" = 'Tomas'``
+ //
+ // Supported operators are ``=``, ``!=``, ``>``, ``>=``, ``<``, and ``<=``.
//
- // 'filter' may not be provided when anded_expressions is present; an INVALID_PARAMETER_VALUE
+ // You cannot provide ``filter`` when ``anded_expressions`` is present; an ``INVALID_PARAMETER_VALUE``
// error will be returned if both are specified.
- // If both 'filter' and 'anded_expressions' are absent, all runs part of the given experiments
- // will be returned.
+ // If both ``filter`` and ``anded_expressions`` are absent, all runs part of the given experiments
+ //
optional string filter = 4;
// Whether to display only active, only deleted, or all runs.
diff --git a/mlflow/protos/service_pb2.py b/mlflow/protos/service_pb2.py
index 6ffeed2ebca61..8a931f55363db 100644
--- a/mlflow/protos/service_pb2.py
+++ b/mlflow/protos/service_pb2.py
@@ -24,7 +24,7 @@
package='mlflow',
syntax='proto2',
serialized_options=_b('\n\024org.mlflow.api.proto\220\001\001\342?\002\020\001'),
- serialized_pb=_b('\n\rservice.proto\x12\x06mlflow\x1a\x15scalapb/scalapb.proto\x1a\x10\x64\x61tabricks.proto\"H\n\x06Metric\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x01\x12\x11\n\ttimestamp\x18\x03 \x01(\x03\x12\x0f\n\x04step\x18\x04 \x01(\x03:\x01\x30\"#\n\x05Param\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t\"C\n\x03Run\x12\x1d\n\x04info\x18\x01 \x01(\x0b\x32\x0f.mlflow.RunInfo\x12\x1d\n\x04\x64\x61ta\x18\x02 \x01(\x0b\x32\x0f.mlflow.RunData\"g\n\x07RunData\x12\x1f\n\x07metrics\x18\x01 \x03(\x0b\x32\x0e.mlflow.Metric\x12\x1d\n\x06params\x18\x02 \x03(\x0b\x32\r.mlflow.Param\x12\x1c\n\x04tags\x18\x03 \x03(\x0b\x32\x0e.mlflow.RunTag\"$\n\x06RunTag\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t\"\xcb\x01\n\x07RunInfo\x12\x10\n\x08run_uuid\x18\x01 \x01(\t\x12\x0e\n\x06run_id\x18\x0f \x01(\t\x12\x15\n\rexperiment_id\x18\x02 \x01(\t\x12\x0f\n\x07user_id\x18\x06 \x01(\t\x12!\n\x06status\x18\x07 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,
dependencies=[scalapb_dot_scalapb__pb2.DESCRIPTOR,databricks__pb2.DESCRIPTOR,])
@@ -2248,7 +2248,7 @@
index=0,
serialized_options=None,
serialized_start=3745,
- serialized_end=6234,
+ serialized_end=6957,
methods=[
_descriptor.MethodDescriptor(
name='createExperiment',
@@ -2257,7 +2257,7 @@
containing_service=None,
input_type=_CREATEEXPERIMENT,
output_type=_CREATEEXPERIMENT_RESPONSE,
- serialized_options=_b('\362\206\031G\n0\n\004POST\022\"/preview/mlflow/experiments/create\032\004\010\002\020\000\020\001*\021Create Experiment'),
+ serialized_options=_b('\362\206\031q\n(\n\004POST\022\032/mlflow/experiments/create\032\004\010\002\020\000\n0\n\004POST\022\"/preview/mlflow/experiments/create\032\004\010\002\020\000\020\001*\021Create Experiment'),
),
_descriptor.MethodDescriptor(
name='listExperiments',
@@ -2266,7 +2266,7 @@
containing_service=None,
input_type=_LISTEXPERIMENTS,
output_type=_LISTEXPERIMENTS_RESPONSE,
- serialized_options=_b('\362\206\031C\n-\n\003GET\022 /preview/mlflow/experiments/list\032\004\010\002\020\000\020\001*\020List Experiments'),
+ serialized_options=_b('\362\206\031j\n%\n\003GET\022\030/mlflow/experiments/list\032\004\010\002\020\000\n-\n\003GET\022 /preview/mlflow/experiments/list\032\004\010\002\020\000\020\001*\020List Experiments'),
),
_descriptor.MethodDescriptor(
name='getExperiment',
@@ -2275,7 +2275,7 @@
containing_service=None,
input_type=_GETEXPERIMENT,
output_type=_GETEXPERIMENT_RESPONSE,
- serialized_options=_b('\362\206\031@\n,\n\003GET\022\037/preview/mlflow/experiments/get\032\004\010\002\020\000\020\001*\016Get Experiment'),
+ serialized_options=_b('\362\206\031f\n$\n\003GET\022\027/mlflow/experiments/get\032\004\010\002\020\000\n,\n\003GET\022\037/preview/mlflow/experiments/get\032\004\010\002\020\000\020\001*\016Get Experiment'),
),
_descriptor.MethodDescriptor(
name='deleteExperiment',
@@ -2284,7 +2284,7 @@
containing_service=None,
input_type=_DELETEEXPERIMENT,
output_type=_DELETEEXPERIMENT_RESPONSE,
- serialized_options=_b('\362\206\031G\n0\n\004POST\022\"/preview/mlflow/experiments/delete\032\004\010\002\020\000\020\001*\021Delete Experiment'),
+ serialized_options=_b('\362\206\031q\n(\n\004POST\022\032/mlflow/experiments/delete\032\004\010\002\020\000\n0\n\004POST\022\"/preview/mlflow/experiments/delete\032\004\010\002\020\000\020\001*\021Delete Experiment'),
),
_descriptor.MethodDescriptor(
name='restoreExperiment',
@@ -2293,7 +2293,7 @@
containing_service=None,
input_type=_RESTOREEXPERIMENT,
output_type=_RESTOREEXPERIMENT_RESPONSE,
- serialized_options=_b('\362\206\031I\n1\n\004POST\022#/preview/mlflow/experiments/restore\032\004\010\002\020\000\020\001*\022Restore Experiment'),
+ serialized_options=_b('\362\206\031t\n)\n\004POST\022\033/mlflow/experiments/restore\032\004\010\002\020\000\n1\n\004POST\022#/preview/mlflow/experiments/restore\032\004\010\002\020\000\020\001*\022Restore Experiment'),
),
_descriptor.MethodDescriptor(
name='updateExperiment',
@@ -2302,7 +2302,7 @@
containing_service=None,
input_type=_UPDATEEXPERIMENT,
output_type=_UPDATEEXPERIMENT_RESPONSE,
- serialized_options=_b('\362\206\031G\n0\n\004POST\022\"/preview/mlflow/experiments/update\032\004\010\002\020\000\020\001*\021Update Experiment'),
+ serialized_options=_b('\362\206\031q\n(\n\004POST\022\032/mlflow/experiments/update\032\004\010\002\020\000\n0\n\004POST\022\"/preview/mlflow/experiments/update\032\004\010\002\020\000\020\001*\021Update Experiment'),
),
_descriptor.MethodDescriptor(
name='createRun',
@@ -2311,7 +2311,7 @@
containing_service=None,
input_type=_CREATERUN,
output_type=_CREATERUN_RESPONSE,
- serialized_options=_b('\362\206\0319\n)\n\004POST\022\033/preview/mlflow/runs/create\032\004\010\002\020\000\020\001*\nCreate Run'),
+ serialized_options=_b('\362\206\031\\\n!\n\004POST\022\023/mlflow/runs/create\032\004\010\002\020\000\n)\n\004POST\022\033/preview/mlflow/runs/create\032\004\010\002\020\000\020\001*\nCreate Run'),
),
_descriptor.MethodDescriptor(
name='updateRun',
@@ -2320,7 +2320,7 @@
containing_service=None,
input_type=_UPDATERUN,
output_type=_UPDATERUN_RESPONSE,
- serialized_options=_b('\362\206\0319\n)\n\004POST\022\033/preview/mlflow/runs/update\032\004\010\002\020\000\020\001*\nUpdate Run'),
+ serialized_options=_b('\362\206\031\\\n!\n\004POST\022\023/mlflow/runs/update\032\004\010\002\020\000\n)\n\004POST\022\033/preview/mlflow/runs/update\032\004\010\002\020\000\020\001*\nUpdate Run'),
),
_descriptor.MethodDescriptor(
name='deleteRun',
@@ -2329,7 +2329,7 @@
containing_service=None,
input_type=_DELETERUN,
output_type=_DELETERUN_RESPONSE,
- serialized_options=_b('\362\206\031-\n)\n\004POST\022\033/preview/mlflow/runs/delete\032\004\010\002\020\000\020\001'),
+ serialized_options=_b('\362\206\031\\\n!\n\004POST\022\023/mlflow/runs/delete\032\004\010\002\020\000\n)\n\004POST\022\033/preview/mlflow/runs/delete\032\004\010\002\020\000\020\001*\nDelete Run'),
),
_descriptor.MethodDescriptor(
name='restoreRun',
@@ -2338,7 +2338,7 @@
containing_service=None,
input_type=_RESTORERUN,
output_type=_RESTORERUN_RESPONSE,
- serialized_options=_b('\362\206\031.\n*\n\004POST\022\034/preview/mlflow/runs/restore\032\004\010\002\020\000\020\001'),
+ serialized_options=_b('\362\206\031_\n\"\n\004POST\022\024/mlflow/runs/restore\032\004\010\002\020\000\n*\n\004POST\022\034/preview/mlflow/runs/restore\032\004\010\002\020\000\020\001*\013Restore Run'),
),
_descriptor.MethodDescriptor(
name='logMetric',
@@ -2347,7 +2347,7 @@
containing_service=None,
input_type=_LOGMETRIC,
output_type=_LOGMETRIC_RESPONSE,
- serialized_options=_b('\362\206\031=\n-\n\004POST\022\037/preview/mlflow/runs/log-metric\032\004\010\002\020\000\020\001*\nLog Metric'),
+ serialized_options=_b('\362\206\031d\n%\n\004POST\022\027/mlflow/runs/log-metric\032\004\010\002\020\000\n-\n\004POST\022\037/preview/mlflow/runs/log-metric\032\004\010\002\020\000\020\001*\nLog Metric'),
),
_descriptor.MethodDescriptor(
name='logParam',
@@ -2356,7 +2356,7 @@
containing_service=None,
input_type=_LOGPARAM,
output_type=_LOGPARAM_RESPONSE,
- serialized_options=_b('\362\206\031?\n0\n\004POST\022\"/preview/mlflow/runs/log-parameter\032\004\010\002\020\000\020\001*\tLog Param'),
+ serialized_options=_b('\362\206\031i\n(\n\004POST\022\032/mlflow/runs/log-parameter\032\004\010\002\020\000\n0\n\004POST\022\"/preview/mlflow/runs/log-parameter\032\004\010\002\020\000\020\001*\tLog Param'),
),
_descriptor.MethodDescriptor(
name='setTag',
@@ -2365,7 +2365,7 @@
containing_service=None,
input_type=_SETTAG,
output_type=_SETTAG_RESPONSE,
- serialized_options=_b('\362\206\0317\n*\n\004POST\022\034/preview/mlflow/runs/set-tag\032\004\010\002\020\000\020\001*\007Set Tag'),
+ serialized_options=_b('\362\206\031[\n\"\n\004POST\022\024/mlflow/runs/set-tag\032\004\010\002\020\000\n*\n\004POST\022\034/preview/mlflow/runs/set-tag\032\004\010\002\020\000\020\001*\007Set Tag'),
),
_descriptor.MethodDescriptor(
name='getRun',
@@ -2374,7 +2374,7 @@
containing_service=None,
input_type=_GETRUN,
output_type=_GETRUN_RESPONSE,
- serialized_options=_b('\362\206\0312\n%\n\003GET\022\030/preview/mlflow/runs/get\032\004\010\002\020\000\020\001*\007Get Run'),
+ serialized_options=_b('\362\206\031Q\n\035\n\003GET\022\020/mlflow/runs/get\032\004\010\002\020\000\n%\n\003GET\022\030/preview/mlflow/runs/get\032\004\010\002\020\000\020\001*\007Get Run'),
),
_descriptor.MethodDescriptor(
name='searchRuns',
@@ -2383,7 +2383,7 @@
containing_service=None,
input_type=_SEARCHRUNS,
output_type=_SEARCHRUNS_RESPONSE,
- serialized_options=_b('\362\206\031d\n)\n\004POST\022\033/preview/mlflow/runs/search\032\004\010\002\020\000\n(\n\003GET\022\033/preview/mlflow/runs/search\032\004\010\002\020\000\020\001*\013Search Runs'),
+ serialized_options=_b('\362\206\031\207\001\n!\n\004POST\022\023/mlflow/runs/search\032\004\010\002\020\000\n)\n\004POST\022\033/preview/mlflow/runs/search\032\004\010\002\020\000\n(\n\003GET\022\033/preview/mlflow/runs/search\032\004\010\002\020\000\020\001*\013Search Runs'),
),
_descriptor.MethodDescriptor(
name='listArtifacts',
@@ -2392,7 +2392,7 @@
containing_service=None,
input_type=_LISTARTIFACTS,
output_type=_LISTARTIFACTS_RESPONSE,
- serialized_options=_b('\362\206\031?\n+\n\003GET\022\036/preview/mlflow/artifacts/list\032\004\010\002\020\000\020\001*\016List Artifacts'),
+ serialized_options=_b('\362\206\031d\n#\n\003GET\022\026/mlflow/artifacts/list\032\004\010\002\020\000\n+\n\003GET\022\036/preview/mlflow/artifacts/list\032\004\010\002\020\000\020\001*\016List Artifacts'),
),
_descriptor.MethodDescriptor(
name='getMetricHistory',
@@ -2401,7 +2401,7 @@
containing_service=None,
input_type=_GETMETRICHISTORY,
output_type=_GETMETRICHISTORY_RESPONSE,
- serialized_options=_b('\362\206\031H\n0\n\003GET\022#/preview/mlflow/metrics/get-history\032\004\010\002\020\000\020\001*\022Get Metric History'),
+ serialized_options=_b('\362\206\031r\n(\n\003GET\022\033/mlflow/metrics/get-history\032\004\010\002\020\000\n0\n\003GET\022#/preview/mlflow/metrics/get-history\032\004\010\002\020\000\020\001*\022Get Metric History'),
),
_descriptor.MethodDescriptor(
name='logBatch',
@@ -2410,7 +2410,7 @@
containing_service=None,
input_type=_LOGBATCH,
output_type=_LOGBATCH_RESPONSE,
- serialized_options=_b('\362\206\031;\n,\n\004POST\022\036/preview/mlflow/runs/log-batch\032\004\010\002\020\000\020\001*\tLog Batch'),
+ serialized_options=_b('\362\206\031a\n$\n\004POST\022\026/mlflow/runs/log-batch\032\004\010\002\020\000\n,\n\004POST\022\036/preview/mlflow/runs/log-batch\032\004\010\002\020\000\020\001*\tLog Batch'),
),
])
_sym_db.RegisterServiceDescriptor(_MLFLOWSERVICE)
diff --git a/tests/server/test_handlers.py b/tests/server/test_handlers.py
index feacfcfcd88af..8c7a9d50b7194 100644
--- a/tests/server/test_handlers.py
+++ b/tests/server/test_handlers.py
@@ -35,7 +35,7 @@ def mock_store():
def test_get_endpoints():
endpoints = get_endpoints()
create_experiment_endpoint = [e for e in endpoints if e[1] == _create_experiment]
- assert len(create_experiment_endpoint) == 2
+ assert len(create_experiment_endpoint) == 4
def test_can_parse_json():
diff --git a/tests/store/test_rest_store.py b/tests/store/test_rest_store.py
index ac8e3bdffffb5..fe882679ab61e 100644
--- a/tests/store/test_rest_store.py
+++ b/tests/store/test_rest_store.py
@@ -24,7 +24,7 @@ def mock_request(**kwargs):
assert kwargs == {
'method': 'GET',
'params': {'view_type': 'ACTIVE_ONLY'},
- 'url': 'https://hello/api/2.0/preview/mlflow/experiments/list',
+ 'url': 'https://hello/api/2.0/mlflow/experiments/list',
'headers': _DEFAULT_HEADERS,
'verify': True,
}
@@ -74,7 +74,7 @@ def test_response_with_unknown_fields(self, request):
def _args(self, host_creds, endpoint, method, json_body):
return {'host_creds': host_creds,
- 'endpoint': "/api/2.0/preview/mlflow/%s" % endpoint,
+ 'endpoint': "/api/2.0/mlflow/%s" % endpoint,
'method': method,
'json': json.loads(json_body)}