Docstring:
Usage: qiime sample-classifier classify-samples-from-dist [OPTIONS]
Run k-nearest-neighbors on a labeled distance matrix. Return cross-validated
(leave one out) predictions and accuracy. k = 1 by default
Inputs:
--i-distance-matrix ARTIFACT
DistanceMatrix a distance matrix [required]
Parameters:
--m-metadata-file METADATA
--m-metadata-column COLUMN MetadataColumn[Categorical]
Categorical metadata column to use as prediction
target. [required]
--p-k INTEGER Number of nearest neighbors [default: 1]
--p-cv INTEGER Number of k-fold cross-validations to perform.
Range(1, None) [default: 5]
--p-random-state INTEGER
Seed used by random number generator. [optional]
--p-n-jobs NTHREADS Number of jobs to run in parallel. [default: 1]
--p-palette TEXT Choices('YellowOrangeBrown', 'YellowOrangeRed',
'OrangeRed', 'PurpleRed', 'RedPurple', 'BluePurple', 'GreenBlue',
'PurpleBlue', 'YellowGreen', 'summer', 'copper', 'viridis', 'cividis',
'plasma', 'inferno', 'magma', 'sirocco', 'drifting', 'melancholy',
'enigma', 'eros', 'spectre', 'ambition', 'mysteriousstains', 'daydream',
'solano', 'navarro', 'dandelions', 'deepblue', 'verve', 'greyscale')
The color palette to use for plotting.
[default: 'sirocco']
Outputs:
--o-predictions ARTIFACT SampleData[ClassifierPredictions]
leave one out predictions for each sample [required]
--o-accuracy-results VISUALIZATION
Accuracy results 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).
--recycle-pool TEXT Use a cache pool for pipeline resumption. QIIME 2
will cache your results in this pool for reuse by
future invocations. These pool are retained until
deleted by the user. If not provided, QIIME 2 will
create a pool which is automatically reused by
invocations of the same action and removed if the
action is successful. Note: these pools are local to
the cache you are using.
--no-recycle Do not recycle results from a previous failed
pipeline run or save the results from this run for
future recycling.
--parallel Execute your action in parallel. This flag will use
your default parallel config.
--parallel-config FILE Execute your action in parallel using a config at
the indicated path.
--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.pipelines import classify_samples_from_dist
Docstring:
Run k-nearest-neighbors on a labeled distance matrix.
Run k-nearest-neighbors on a labeled distance matrix. Return cross-
validated (leave one out) predictions and accuracy. k = 1 by default
Parameters
----------
distance_matrix : DistanceMatrix
a distance matrix
metadata : MetadataColumn[Categorical]
Categorical metadata column to use as prediction target.
k : Int, optional
Number of nearest neighbors
cv : Int % Range(1, None), optional
Number of k-fold cross-validations to perform.
random_state : Int, optional
Seed used by random number generator.
n_jobs : Threads, optional
Number of jobs to run in parallel.
palette : Str % Choices('YellowOrangeBrown', 'YellowOrangeRed', 'OrangeRed', 'PurpleRed', 'RedPurple', 'BluePurple', 'GreenBlue', 'PurpleBlue', 'YellowGreen', 'summer', 'copper', 'viridis', 'cividis', 'plasma', 'inferno', 'magma', 'sirocco', 'drifting', 'melancholy', 'enigma', 'eros', 'spectre', 'ambition', 'mysteriousstains', 'daydream', 'solano', 'navarro', 'dandelions', 'deepblue', 'verve', 'greyscale'), optional
The color palette to use for plotting.
Returns
-------
predictions : SampleData[ClassifierPredictions]
leave one out predictions for each sample
accuracy_results : Visualization
Accuracy results visualization.