Calculate feature importance
Execution format
catboost fstr [-m <model name>] [--input-path] <dataset> --fstr-type <output format> [other parameters]
Options
Option | Description | Default value |
---|---|---|
--fstr-type | The feature importance output format. | Required parameter |
-m --model-file --model-path | The name of the input file with the description of the model obtained as the result of training. | model.bin |
--model-format | The format of the input model. Possible values:
| CatboostBinary |
--input-path | The name of the input file with the dataset description. This parameter is required in the following cases:
| input.tsv |
--column-description --cd | The path to the input file that contains the columns description. This parameter is required in the following cases:
| If omitted, it is assumed that the first column in the file with the dataset description defines the label value, and the other columns are the values of numerical features. |
-o --output-path | The path to the output file with data for feature analysis. | feature_strength.tsv |
-T --thread-count | The number of threads to use during the training. Optimizes the speed of execution. This parameter doesn't affect results. | The number of processor cores |
Option | Description | Default value |
---|---|---|
--fstr-type | The feature importance output format. | Required parameter |
-m --model-file --model-path | The name of the input file with the description of the model obtained as the result of training. | model.bin |
--model-format | The format of the input model. Possible values:
| CatboostBinary |
--input-path | The name of the input file with the dataset description. This parameter is required in the following cases:
| input.tsv |
--column-description --cd | The path to the input file that contains the columns description. This parameter is required in the following cases:
| If omitted, it is assumed that the first column in the file with the dataset description defines the label value, and the other columns are the values of numerical features. |
-o --output-path | The path to the output file with data for feature analysis. | feature_strength.tsv |
-T --thread-count | The number of threads to use during the training. Optimizes the speed of execution. This parameter doesn't affect results. | The number of processor cores |