Docstring:
Usage: qiime sample-classifier summarize [OPTIONS]
Summarize parameter and feature extraction information for a trained
estimator.
Inputs:
--i-sample-estimator ARTIFACT SampleEstimator[Classifier | Regressor]
Sample estimator trained with fit_classifier or
fit_regressor. [required]
Outputs:
--o-visualization VISUALIZATION
[required]
Miscellaneous:
--output-dir PATH Output unspecified results to a directory
--verbose / --quiet Display verbose output to stdout and/or stderr
during execution of this action. Or silence output if
execution is successful (silence is golden).
--example-data PATH Write example data and exit.
--citations Show citations and exit.
--use-cache DIRECTORY Specify the cache to be used for the intermediate
work of this action. If not provided, the default
cache under $TMP/qiime2/ will be used.
IMPORTANT FOR HPC USERS: If you are on an HPC system
and are using parallel execution it is important to
set this to a location that is globally accessible to
all nodes in the cluster.
--help Show this message and exit.
Import:
from qiime2.plugins.sample_classifier.visualizers import summarize
Docstring:
Summarize parameter and feature extraction information for a trained
estimator.
Summarize parameter and feature extraction information for a trained
estimator.
Parameters
----------
sample_estimator : SampleEstimator[Classifier | Regressor]
Sample estimator trained with fit_classifier or fit_regressor.
Returns
-------
visualization : Visualization