autoViz Module¶
- Description :
- This module is used for outputs visualization:
- Visualize and retrieve each pipeline’s generating steps & performance;
- Using this module as the open interface for further interactive visualization development.
autoViz¶
-
class
optimalflow.autoViz.autoViz(preprocess_dict=None, report=None)[source]¶ This class implements model visualization.
Parameters: - preprocess_dict (dict, default = None) – 1st output result (DICT_PREPROCESS) of autoPipe module.
- report (df, default = None) – 4th output result (dyna_report) of autoPipe module.
Example
References
-
clf_model_retrieval(metrics=None)[source]¶ This function implements classification model retrieval visualization.
Parameters: metrics (str, default = None) – Value in [“accuracy”,”precision”,”recall”]. Example
[Example] https://optimal-flow.readthedocs.io/en/latest/demos.html#pipeline-cluster-traversal-experiments-model-retrieval-diagram-using-autoviz References
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clf_table_report()[source]¶ This function implements heatmap style pipeline cluster’s model evaluation report(Dynamic Table) for classification output report.
Example
[Example] https://optimal-flow.readthedocs.io/en/latest/demos.html#pipeline-cluster-model-evaluation-dynamic-table-using-autoviz References
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reg_table_report()[source]¶ This function implements heatmap style pipeline cluster’s model evaluation report(Dynamic Table) for regression output report.
Example
[Example] https://optimal-flow.readthedocs.io/en/latest/demos.html#pipeline-cluster-model-evaluation-dynamic-table-using-autoviz References