Mercurial > repos > bgruening > sklearn_sample_generator
annotate sample_generator.xml @ 26:ebf295f2faf6 draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 60f0fbc0eafd7c11bc60fb6c77f2937782efd8a9-dirty
author | bgruening |
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date | Fri, 09 Aug 2019 07:20:20 -0400 |
parents | 4ba68dd788b3 |
children | 1e99cfb71f40 |
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dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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1 <tool id="sklearn_sample_generator" name="Generate" version="@VERSION@"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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2 <description>random samples with controlled size and complexity</description> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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3 <macros> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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4 <import>main_macros.xml</import> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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5 </macros> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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6 <expand macro="python_requirements"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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7 <expand macro="macro_stdio"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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8 <version_command>echo "@VERSION@"</version_command> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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9 <command> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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10 <![CDATA[ |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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11 python "$sample_generator_script" '$inputs' |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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12 ]]> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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13 </command> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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14 <configfiles> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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15 <inputs name="inputs" /> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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16 <configfile name="sample_generator_script"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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17 <![CDATA[ |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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18 import sys |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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19 import json |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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20 import pandas |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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21 import numpy as np |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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22 from sklearn import datasets |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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23 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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24 input_json_path = sys.argv[1] |
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c02c2bf137ab
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
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25 with open(input_json_path, "r") as param_handler: |
c02c2bf137ab
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit f54ff2ba2f8e7542d68966ce5a6b17d7f624ac48
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26 params = json.load(param_handler) |
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dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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27 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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28 my_function = getattr(datasets, params["sample_generators"]["selected_generator"]) |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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29 options = params["sample_generators"]["options"] |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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30 my_points, my_targets = my_function(**options) |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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31 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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32 points_df = pandas.DataFrame(my_points) |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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33 targets_df = pandas.DataFrame(my_targets) |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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34 res = pandas.concat([points_df, targets_df], axis=1) |
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4ba68dd788b3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
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35 res.to_csv(path_or_buf = "$outfile", sep="\t", index=False, float_format='%.14f') |
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dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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36 |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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37 ]]> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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38 </configfile> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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39 </configfiles> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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40 <inputs> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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41 <conditional name="sample_generators"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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42 <param name="selected_generator" type="select" label="Sample type:"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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43 <option value="make_blobs" selected="true">Isotropic Gaussian blobs for clustering</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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44 <option value="make_classification">Random n-class classification problem</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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45 <option value="make_gaussian_quantiles">Isotropic Gaussian and label samples by quantile</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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46 <option value="make_hastie_10_2">Data for binary classification (used in Hastie et al)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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47 <option value="make_circles">Large circle containing a smaller circle in 2d (circles)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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48 <option value="make_moons">Two interleaving half circles (moons)</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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49 <option value="make_regression">Random regression problem</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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50 <option value="make_sparse_uncorrelated">Random regression problem with sparse uncorrelated design</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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51 <option value="make_friedman1">“Friedman #1” regression problem</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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52 <option value="make_friedman2">“Friedman #2” regression problem</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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53 <option value="make_friedman3">“Friedman #3” regression problem</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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54 <!--option value="make_low_rank_matrix">Mostly low rank matrix with bell-shaped singular values</option--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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55 <!--option value="make_multilabel_classification">Random multilabel classification problem</option--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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56 <option value="make_s_curve">S curve dataset</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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57 <option value="make_swiss_roll">Swiss roll dataset</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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58 <!--option value="make_sparse_coded_signal">Sparse combination of dictionary elements</option--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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59 <!--option value="make_sparse_spd_matrix">Sparse symmetric definite positive matrix</option--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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60 <!--option value="make_spd_matrix">Random symmetric, positive-definite matrix</option--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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61 <!--option value="make_biclusters">Array with constant block diagonal structure for biclustering</option> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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62 <option value="make_checkerboard">Array with block checkerboard structure for biclustering</option--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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63 </param> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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64 <when value="make_blobs"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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65 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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66 <expand macro="n_samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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67 <expand macro="n_features"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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68 <param argument="centers" type="integer" optional="true" value="3" label="Number of centers to generate" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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69 <!--todo: expand centers type : int or array of shape [n_centers, n_features]--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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70 <param argument="cluster_std" type="float" optional="true" value="1.0" label="Standard deviation of the clusters" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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71 <!--todo: expand cluster_std type : float or sequence of floats--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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72 <!--param argument=center_box--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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73 <expand macro="shuffle" label="Shuffle the samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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74 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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75 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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76 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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77 <when value="make_classification"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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78 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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79 <expand macro="n_samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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80 <expand macro="n_features" default_value="20"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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81 <param argument="n_informative" type="integer" optional="true" value="2" label="Number of informative features" help="Each class is composed of a number of gaussian clusters each located around the vertices of a hypercube in a subspace of dimension n_informative. For each cluster, informative features are drawn independently from N(0, 1) and then randomly linearly combined within each cluster in order to add covariance. The clusters are then placed on the vertices of the hypercube. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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82 <param argument="n_redundant" type="integer" optional="true" value="2" label="Number of redundant features" help="These features are generated as random linear combinations of the informative features. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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83 <param argument="n_repeated" type="integer" optional="true" value="0" label="Number of duplicated features" help="These are drawn randomly from the informative and the redundant features. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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84 <param argument="n_classes" type="integer" optional="true" value="2" label="Number of classes" help="The number of classes (or labels) of the classification problem. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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85 <param argument="n_clusters_per_class" type="integer" optional="true" value="2" label="Number of clusters per class" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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86 <!--param argument = weights--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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87 <param argument="flip_y" type="float" optional="true" value="0.01" label="Fraction of samples with randomly exchanged class labels" help=" "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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88 <!--param argument = class_sep--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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89 <!--param argument = hypercube--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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90 <!--param argument = shift--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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91 <!--param argument = scale--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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92 <expand macro="shuffle" label="Shuffle the samples"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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93 <expand macro="random_state"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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94 </section> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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95 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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96 <when value="make_gaussian_quantiles"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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97 <section name="options" title="Advanced Options" expanded="False"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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98 <!--param argument = mean--> |
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99 <expand macro="n_samples"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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100 <expand macro="n_features"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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101 <param argument="cov" type="float" optional="true" value="1" label="Unit matrix coefficient" help="The covariance matrix will be this value times the unit matrix. This dataset only produces symmetric normal distributions. "/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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102 <param argument="n_classes" type="integer" optional="true" value="2" label="Number of classes" help="The number of classes (or labels) of the classification problem. "/> |
dec5e182fd0c
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103 <expand macro="shuffle" label="Shuffle the samples"/> |
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104 <expand macro="random_state"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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105 </section> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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106 </when> |
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107 <when value="make_hastie_10_2"> |
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108 <section name="options" title="Advanced Options" expanded="False"> |
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109 <expand macro="n_samples" default_value="12000"/> |
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110 <expand macro="random_state"/> |
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111 </section> |
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112 </when> |
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113 <when value="make_circles"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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114 <section name="options" title="Advanced Options" expanded="False"> |
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115 <expand macro="n_samples"/> |
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116 <expand macro="shuffle" label="Shuffle the samples"/> |
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117 <expand macro="noise" default_value=""/> |
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118 <param argument="factor" type="float" optional="true" value="0.8" label="Scale factor between inner and outer circle" help=" Floating point number less than 1. "/> |
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119 <expand macro="random_state"/> |
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120 </section> |
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121 </when> |
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122 <when value="make_moons"> |
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123 <section name="options" title="Advanced Options" expanded="False"> |
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124 <expand macro="n_samples"/> |
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125 <expand macro="shuffle" label="Shuffle the samples"/> |
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126 <expand macro="noise" default_value=""/> |
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127 <expand macro="random_state"/> |
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128 </section> |
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129 </when> |
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130 <when value="make_regression"> |
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131 <section name="options" title="Advanced Options" expanded="False"> |
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132 <expand macro="n_samples"/> |
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133 <expand macro="n_features" default_value="100"/> |
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134 <param argument="n_informative" type="integer" optional="true" value="10" label="Number of informative features" help="the number of features used to build the linear model used to generate the output "/> |
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135 <param argument="n_targets" type="integer" optional="true" value="1" label="Number of regression targets" help="The dimension of the y output vector associated with a sample. By default, the output is a scalar."/> |
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136 <param argument="bias" type="float" optional="true" value="0.0" label="Bias of the true function" help="The bias term in the underlying linear model. "/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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137 <!--param argument = effective_rank--> |
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138 <!--param argument = tail_strength--> |
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139 <!--param argument = coef--> |
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140 <expand macro="noise"/> |
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141 <expand macro="random_state"/> |
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142 </section> |
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143 </when> |
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144 <when value="make_sparse_uncorrelated"> |
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145 <section name="options" title="Advanced Options" expanded="False"> |
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146 <expand macro="n_samples"/> |
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147 <expand macro="n_features" default_value="10"/> |
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148 <expand macro="random_state"/> |
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149 </section> |
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150 </when> |
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151 <when value="make_friedman1"> |
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152 <section name="options" title="Advanced Options" expanded="False"> |
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153 <expand macro="n_samples"/> |
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154 <expand macro="n_features" default_value="10"/> |
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155 <expand macro="noise"/> |
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156 <expand macro="random_state"/> |
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157 </section> |
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158 </when> |
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159 <when value="make_friedman2"> |
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160 <section name="options" title="Advanced Options" expanded="False"> |
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161 <expand macro="n_samples"/> |
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162 <expand macro="noise"/> |
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163 <expand macro="random_state"/> |
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164 </section> |
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165 </when> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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166 <when value="make_friedman3"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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167 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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168 <expand macro="n_samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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169 <expand macro="noise"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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170 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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171 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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172 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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173 <!--when value="make_low_rank_matrix"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
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174 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
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175 <expand macro="n_samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
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176 <expand macro="n_features" default_value="100"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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177 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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178 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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179 </when--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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180 <!--when value="make_multilabel_classification"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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181 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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changeset
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182 <expand macro="n_samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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183 <expand macro="n_features" default_value="20"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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184 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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185 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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186 </when--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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187 <when value="make_s_curve"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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188 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
bgruening
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189 <expand macro="n_samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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190 <expand macro="noise"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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changeset
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191 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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192 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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193 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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194 <when value="make_swiss_roll"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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195 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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196 <expand macro="n_samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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197 <expand macro="noise"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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198 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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199 </section> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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200 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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201 <!--when value="make_sparse_coded_signal"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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202 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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203 <expand macro="n_samples" default_value=""/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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204 <expand macro="n_features" default_value=""/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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205 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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206 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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207 </when--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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208 <!--when value="make_spd_matrix"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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209 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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210 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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211 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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212 </when--> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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213 <!--when value="make_sparse_spd_matrix"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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214 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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215 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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216 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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217 </when--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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218 <!--when value="make_biclusters"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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219 <section name="options" title="Advanced Options" expanded="False"> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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220 <expand macro="shuffle" label="Shuffle the samples"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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221 <expand macro="noise"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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222 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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223 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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224 </when> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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225 <when value="make_checkerboard"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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226 <section name="options" title="Advanced Options" expanded="False"> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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227 <expand macro="shuffle" label="Shuffle the samples"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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228 <expand macro="noise"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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229 <expand macro="random_state"/> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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230 </section> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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231 </when--> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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232 </conditional> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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233 </inputs> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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234 <outputs> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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235 <data format="tabular" name="outfile"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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236 </outputs> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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237 <tests> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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238 <test> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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239 <param name="selected_generator" value="make_blobs"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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240 <param name="random_state" value="100"/> |
23
4ba68dd788b3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
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15
diff
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241 <output name="outfile" file="blobs.txt" compare="sim_size" delta="1"/> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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242 </test> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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243 <test> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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244 <param name="selected_generator" value="make_classification"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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245 <param name="random_state" value="100"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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246 <output name="outfile" file="class.txt" compare="sim_size" /> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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247 </test> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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248 <test> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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249 <param name="selected_generator" value="make_circles"/> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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250 <param name="random_state" value="100"/> |
23
4ba68dd788b3
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 57f4407e278a615f47a377a3328782b1d8e0b54d
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15
diff
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251 <output name="outfile" file="circles.txt" compare="sim_size" delta="1"/> |
0
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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252 </test> |
dec5e182fd0c
planemo upload for repository https://github.com/bgruening/galaxytools/tools/sklearn commit 0e582cf1f3134c777cce3aa57d71b80ed95e6ba9
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253 <test> |
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254 <param name="selected_generator" value="make_friedman1"/> |
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255 <param name="random_state" value="100"/> |
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256 <output name="outfile" file="friedman1.txt" compare="sim_size" delta="1"/> |
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257 </test> |
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258 <test> |
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259 <param name="selected_generator" value="make_friedman2"/> |
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260 <param name="random_state" value="100"/> |
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261 <output name="outfile" file="friedman2.txt" compare="sim_size" delta="1"/> |
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262 </test> |
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263 <test> |
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264 <param name="selected_generator" value="make_friedman3"/> |
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265 <param name="random_state" value="100"/> |
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266 <output name="outfile" file="friedman3.txt" compare="sim_size" delta="1"/> |
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267 </test> |
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268 <test> |
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269 <param name="selected_generator" value="make_gaussian_quantiles"/> |
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270 <param name="random_state" value="100"/> |
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271 <output name="outfile" file="gaus.txt" compare="sim_size" delta="1"/> |
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272 </test> |
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273 <test> |
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274 <param name="selected_generator" value="make_hastie_10_2"/> |
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275 <param name="random_state" value="100"/> |
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276 <output name="outfile" file="hastie.txt" compare="sim_size" delta="1"/> |
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277 </test> |
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278 <test> |
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279 <param name="selected_generator" value="make_moons"/> |
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280 <param name="random_state" value="100"/> |
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281 <output name="outfile" file="moons.txt" compare="sim_size" delta="1"/> |
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282 </test> |
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283 <test> |
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284 <param name="selected_generator" value="make_regression"/> |
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285 <param name="random_state" value="100"/> |
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286 <output name="outfile" file="regression.txt" compare="sim_size" delta="1" /> |
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287 </test> |
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288 <test> |
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289 <param name="selected_generator" value="make_s_curve"/> |
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290 <param name="random_state" value="100"/> |
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291 <output name="outfile" file="scurve.txt" compare="sim_size" delta="1"/> |
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292 </test> |
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293 <test> |
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294 <param name="selected_generator" value="make_sparse_uncorrelated"/> |
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295 <param name="random_state" value="100"/> |
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296 <output name="outfile" file="sparse_u.txt" compare="sim_size" delta="1"/> |
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297 </test> |
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298 <test> |
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299 <param name="selected_generator" value="make_swiss_roll"/> |
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300 <param name="random_state" value="100"/> |
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301 <output name="outfile" file="swiss_r.txt" compare="sim_size" delta="1"/> |
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302 </test> |
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303 </tests> |
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304 <help> |
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305 <![CDATA[ |
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306 **What it does** |
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307 |
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308 This tool generates artificial data samples with specified size and controlled complexity. |
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309 It provides sample generators for the following machine learning problems: |
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310 |
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311 |
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312 |
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313 **1 - Single_label classification and clustering** |
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314 |
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315 These generators produce a file containing the data samples. It is a tabular representation with samples in rows having features in columns. |
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316 (In machine learning, each numerical property of a sample is called a feature.) |
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317 The corresponding discrete targets are generated in a separate column. This column is added as the last coulmn of the data. |
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318 |
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319 |
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320 **Example** |
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321 Sample data with 4 features and a single target (n_samples=8 , n_features=4) : |
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322 |
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323 |
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324 features columns |
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325 :: |
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326 |
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327 4.01163365529 -6.10797684314 8.29829894763 -9.10139563721 |
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328 10.0788438916 1.59539821454 10.0684278289 4.16975127881 |
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329 -5.17607775503 -0.878286135332 6.92941850665 -5.27083063186 |
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330 4.00975406235 -7.11847496542 9.3802423585 -9.36732159584 |
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331 4.61204065139 -5.71217537352 9.12509610964 -9.2260804162 |
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332 8.26530668997 2.96705005011 8.88881190248 2.75339082289 |
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333 2.96366327113 -3.76295851562 11.7113372463 -9.79136150321 |
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334 8.13319631944 -0.223645298585 10.5820605308 4.47715318678 |
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335 |
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336 target column |
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337 :: |
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340 0 |
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348 The following generators are included in this section: |
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351 * **Isotropic Gaussian blobs for clustering** creates multiclass datasets by allocating each class one or more normally-distributed clusters of points (isotropic = equally distributed in all directions). It provides control regarding the centers and standard deviations of each cluster, and is used to demonstrate clustering. |
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353 * **Random n-class classification problem** does the same specialising in introducing noise by way of: correlated, redundant and uninformative features; multiple Gaussian clusters per class; and linear transformations of the feature space. |
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354 |
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355 * **Isotropic Gaussian and label samples by quantile** divides a single Gaussian cluster into near-equal-size classes separated by concentric hyperspheres. |
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356 |
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357 * **Data for binary classification (Hastie)** generates a binary problem similar to the above with 10 features. |
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358 |
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359 * **Circles** and **moons** generate 2-dimensional binary classification datasets that are challenging to certain algorithms (e.g. centroid-based clustering or linear classification), including optional Gaussian noise. They are useful for visualisation. |
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360 |
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361 **2 - Generators for regression** |
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362 |
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363 These generators produce output with same same format as in section 1, thoguh aimed for regression problems. The following generators are included in this section: |
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365 * **Random regression problem** produces regression targets as an optionally-sparse random linear combination of random features, with noise. Its informative features may be uncorrelated, or low rank (few features account for most of the variance). It can produce multiple targets for each point. |
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366 |
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367 * **Random regression problem with sparse uncorrelated design** produces a target as a linear combination of four features with fixed coefficients. |
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369 * **Nonlinear generators** encode explicitly non-linear relations: **“Friedman #1”** is related by polynomial and sine transforms; **“Friedman #2”** includes feature multiplication and reciprocation; and **“Friedman #3”** is similar with an arctan transformation on the target. |
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370 |
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371 **3 - Generators for manifold learning** |
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372 |
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373 Generators belonging to this group produce datasets suitable for non-linear dimensionality reduction problems. The idea behind this type of problem is that the dimensionality of many data sets is only artificially high. **S curve dataset** and **Swiss roll dataset** produce the same points-targets output format, sample points are 3-dimensional and the target column indicates the univariate position of the sample according to the main dimension of the points in the manifold. |
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375 ]]> |
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376 </help> |
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377 <expand macro="sklearn_citation"/> |
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378 </tool> |