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Merge pull request #1062 from facebookexperimental/feature/visualizat…
…ion-interface visualizer interface
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from typing import Dict, Any | ||
import matplotlib.pyplot as plt | ||
from .base_visualizer import BaseVisualizer | ||
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class AllocatorVisualizer(BaseVisualizer): | ||
def __init__(self, allocator_data: Dict[str, Any]): | ||
super().__init__() | ||
self.allocator_data = allocator_data | ||
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def plot_allocator(self) -> plt.Figure: | ||
""" | ||
Plot allocator's output. | ||
Returns: | ||
plt.Figure: The generated figure. | ||
""" | ||
pass |
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import matplotlib.pyplot as plt | ||
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class BaseVisualizer: | ||
def __init__(self): | ||
pass | ||
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def _setup_plot(self): | ||
# Common plot setup logic | ||
pass |
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from typing import Dict, Any | ||
import matplotlib.pyplot as plt | ||
from .base_visualizer import BaseVisualizer | ||
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class InputVisualizer(BaseVisualizer): | ||
def __init__(self, input_data: Dict[str, Any]): | ||
super().__init__() | ||
self.input_data = input_data | ||
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def plot_adstock(self) -> plt.Figure: | ||
""" | ||
Create example plots for adstock hyperparameters. | ||
Returns: | ||
plt.Figure: The generated figure. | ||
""" | ||
fig, ax = plt.subplots() | ||
# Add plotting logic here | ||
return fig | ||
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def plot_saturation(self) -> plt.Figure: | ||
""" | ||
Create example plots for saturation hyperparameters. | ||
Returns: | ||
plt.Figure: The generated figure. | ||
""" | ||
fig, ax = plt.subplots() | ||
# Add plotting logic here | ||
return fig | ||
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def plot_spend_exposure_fit(self) -> Dict[str, plt.Figure]: | ||
""" | ||
Check spend exposure fit if available. | ||
Returns: | ||
Dict[str, plt.Figure]: A dictionary of generated figures. | ||
""" | ||
figures = {} | ||
# Add plotting logic here | ||
return figures |
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from typing import Dict, Any | ||
import matplotlib.pyplot as plt | ||
from .base_visualizer import BaseVisualizer | ||
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class ModelVisualizer(BaseVisualizer): | ||
def __init__(self, model_data: Dict[str, Any]): | ||
super().__init__() | ||
self.model_data = model_data | ||
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def plot_moo_distribution(self) -> plt.Figure: | ||
""" | ||
Plot MOO (multi-objective optimization) distribution. | ||
Returns: | ||
plt.Figure: The generated figure. | ||
""" | ||
pass | ||
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def plot_moo_cloud(self) -> plt.Figure: | ||
""" | ||
Plot MOO (multi-objective optimization) cloud. | ||
Returns: | ||
plt.Figure: The generated figure. | ||
""" | ||
pass | ||
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def plot_ts_validation(self) -> plt.Figure: | ||
""" | ||
Plot time-series validation. | ||
Returns: | ||
plt.Figure: The generated figure. | ||
""" | ||
pass | ||
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def plot_onepager(self, input_collect: Dict[str, Any], output_collect: Dict[str, Any], select_model: str) -> Dict[str, plt.Figure]: | ||
""" | ||
Generate one-pager plots for a selected model. | ||
Args: | ||
input_collect (Dict[str, Any]): The input collection data. | ||
output_collect (Dict[str, Any]): The output collection data. | ||
select_model (str): The selected model identifier. | ||
Returns: | ||
Dict[str, plt.Figure]: A dictionary of generated figures. | ||
""" | ||
pass |
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from typing import Dict, Any | ||
import matplotlib.pyplot as plt | ||
from .base_visualizer import BaseVisualizer | ||
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class ResponseVisualizer(BaseVisualizer): | ||
def __init__(self, response_data: Dict[str, Any]): | ||
super().__init__() | ||
self.response_data = response_data | ||
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def plot_response(self) -> plt.Figure: | ||
""" | ||
Plot response curves. | ||
Returns: | ||
plt.Figure: The generated figure. | ||
""" | ||
pass | ||
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def plot_marginal_response(self) -> plt.Figure: | ||
""" | ||
Plot marginal response curves. | ||
Returns: | ||
plt.Figure: The generated figure. | ||
""" | ||
pass |
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from typing import Dict, Any | ||
import matplotlib.pyplot as plt | ||
from .input_visualizer import InputVisualizer | ||
from .model_visualizer import ModelVisualizer | ||
from .allocator_visualizer import AllocatorVisualizer | ||
from .response_visualizer import ResponseVisualizer | ||
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class RobynVisualizer: | ||
def __init__(self): | ||
self.input_visualizer = None | ||
self.model_visualizer = None | ||
self.allocator_visualizer = None | ||
self.response_visualizer = None | ||
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def set_input_data(self, input_data: Dict[str, Any]): | ||
self.input_visualizer = InputVisualizer(input_data) | ||
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def set_model_data(self, model_data: Dict[str, Any]): | ||
self.model_visualizer = ModelVisualizer(model_data) | ||
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def set_allocator_data(self, allocator_data: Dict[str, Any]): | ||
self.allocator_visualizer = AllocatorVisualizer(allocator_data) | ||
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def set_response_data(self, response_data: Dict[str, Any]): | ||
self.response_visualizer = ResponseVisualizer(response_data) | ||
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def plot_adstock(self) -> plt.Figure: | ||
return self.input_visualizer.plot_adstock() | ||
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def plot_saturation(self) -> plt.Figure: | ||
return self.input_visualizer.plot_saturation() | ||
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def plot_moo_distribution(self) -> plt.Figure: | ||
return self.model_visualizer.plot_moo_distribution() | ||
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def plot_moo_cloud(self) -> plt.Figure: | ||
return self.model_visualizer.plot_moo_cloud() | ||
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def plot_ts_validation(self) -> plt.Figure: | ||
return self.model_visualizer.plot_ts_validation() | ||
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def plot_onepager(self, input_collect: Dict[str, Any], output_collect: Dict[str, Any], select_model: str) -> Dict[str, plt.Figure]: | ||
return self.model_visualizer.plot_onepager(input_collect, output_collect, select_model) | ||
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def plot_allocator(self) -> plt.Figure: | ||
return self.allocator_visualizer.plot_allocator() | ||
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def plot_response(self) -> plt.Figure: | ||
return self.response_visualizer.plot_response() | ||
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def plot_marginal_response(self) -> plt.Figure: | ||
return self.response_visualizer.plot_marginal_response() |