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JAD-2878 : Add Classic R2 Metric #45

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JAD-2878 : Add Classic R2 Metric #45

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8 changes: 4 additions & 4 deletions jadbio/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -798,7 +798,7 @@ def analyze_dataset(self,
When not present, a default value of 5 is used.
:param string analysis_metric: The metric that the pipeline will optimize over. When present it must be one of the specified metrics.
Classification metrics: "AUC","ACC","BACC","F1","F2","F0_5","MCC","MEAN_AP"
Regression metrics: "R2","RAE","RSE","MAE","MSE","CORRELATION","SPEARMAN"
Regression metrics: "R2","RAE","RSE","MAE","MSE","CORRELATION","SPEARMAN","CLASSIC_R2"
Survival metrics : "CI"
:return: analysis_id
:rtype: str
Expand Down Expand Up @@ -942,7 +942,7 @@ def analyze_dataset_check(self,
When not present, a default value of 5 is used.
:param string analysis_metric: The metric that the pipeline will optimize over. When present it must be one of the specified metrics.
Classification metrics: "AUC","ACC","BACC","F1","F2","F0_5","MCC","MEAN_AP"
Regression metrics: "R2","RAE","RSE","MAE","MSE","CORRELATION","SPEARMAN"
Regression metrics: "R2","RAE","RSE","MAE","MSE","CORRELATION","SPEARMAN","CLASSIC_R2"
Survival metrics : "CI"
:return: {errors?: [string], warnings?: [string], suggestions?: [string]}
:rtype: dict
Expand Down Expand Up @@ -1047,7 +1047,7 @@ def analyze_dataset_extra_models(self,
When not present, a default value of 5 is used.
:param string analysis_metric: The metric that the pipeline will optimize over. When present it must be one of the specified metrics.
Classification metrics: "AUC","ACC","BACC","F1","F2","F0_5","MCC","MEAN_AP"
Regression metrics: "R2","RAE","RSE","MAE","MSE","CORRELATION","SPEARMAN"
Regression metrics: "R2","RAE","RSE","MAE","MSE","CORRELATION","SPEARMAN","CLASSIC_R2"
Survival metrics : "CI"
:return: analysis_id
:rtype: str
Expand Down Expand Up @@ -1151,7 +1151,7 @@ def analyze_dataset_extra_models_check(
When not present, a default value of 5 is used.
:param string analysis_metric: The metric that the pipeline will optimize over. When present it must be one of the specified metrics.
Classification metrics: "AUC","ACC","BACC","F1","F2","F0_5","MCC","MEAN_AP"
Regression metrics: "R2","RAE","RSE","MAE","MSE","CORRELATION","SPEARMAN"
Regression metrics: "R2","RAE","RSE","MAE","MSE","CORRELATION","SPEARMAN","CLASSIC_R2"
Survival metrics : "CI"
:return: {errors?: [string], warnings?: [string], suggestions?: [string]}
:rtype: dict
Expand Down