xplogger.experiment_manager.viz package

Submodules

xplogger.experiment_manager.viz.bokeh module

Utlities functions to make bokeh plots.

xplogger.experiment_manager.viz.bokeh.plot_experiment_sequence_dict(exp_seq_dict: ExperimentSequenceDict, metadata_for_plot: dict[str, Any], color_palette: list[Any], p: Optional[figure], colors: Optional[list[str]] = None, color_offset: int = 0, return_all_metrics_with_same_length: bool = True, kwargs_for_aggregate_metrics: Optional[dict[str, Any]] = None) → figure[source]

Plot the given experiment sequence dict.

Parameters

  • exp_seq_dict (ExperimentSequenceDict) –

  • metadata_for_plot (dict[str, Any]) –

  • color_palette (list[Any]) –

  • p (Optional[figure]) –

  • colors (Optional[list[str]], optional) – Defaults to None.

  • color_offset (int, optional) – Defaults to 0.

  • kwargs_for_aggregate_metrics (Optional[dict[str, Any]], optional) – These arguments are pass to aggregation function of exp_seq_dict. Defaults to None.

Returns

Return type

figure

xplogger.experiment_manager.viz.matplotlib module

Utlities functions to make bokeh plots.

xplogger.experiment_manager.viz.matplotlib.plot_experiment_sequence_dict(exp_seq_dict: ExperimentSequenceDict, metadata_for_plot: dict[str, Any], color_palette: list[Any], colors: Optional[list[str]] = None, color_offset: int = 0, return_all_metrics_with_same_length: bool = True, kwargs_for_aggregate_metrics: Optional[dict[str, Any]] = None) → None[source]

Plot the given experiment sequence dict as a matplotlib.

Parameters

  • exp_seq_dict (ExperimentSequenceDict) –

  • metadata_for_plot (dict[str, Any]) –

  • color_palette (list[Any]) –

  • colors (Optional[list[str]], optional) – Defaults to None.

  • color_offset (int, optional) – Defaults to 0.

  • kwargs_for_aggregate_metrics (Optional[dict[str, Any]], optional) – These arguments are pass to aggregation function of exp_seq_dict. Defaults to None.

Returns

Return type

figure

xplogger.experiment_manager.viz.utils module

Utlities functions to make bokeh plots.

xplogger.experiment_manager.viz.utils.get_data_and_colors(exp_seq_dict: ExperimentSequenceDict, return_all_metrics_with_same_length: bool, kwargs_for_aggregate_metrics: dict[str, Any], color_palette: list[Any], colors: Optional[list[str]], color_offset: int) → tuple[dict[str, Any], list[str]][source]

Extract data and colors for generating the plots.

xplogger.experiment_manager.viz.utils.validate_kwargs_for_aggregate_metrics(kwargs_for_aggregate_metrics: Optional[dict[str, Any]]) → None[source]

Validate that kwargs is not None and contains certain keys.

Module contents