Mercurial > repos > bgruening > sklearn_train_test_eval

annotate test-data/pipeline_params18 @ 10:a9e0b963b7bb draft

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"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"
author bgruening
date Tue, 13 Apr 2021 22:04:06 +0000
parents ead7adad8d0e
children
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2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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1 Parameter Value
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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2 * memory memory: None
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3 @ powertransformer powertransformer: PowerTransformer(copy=True, method='yeo-johnson', standardize=True)
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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4 * steps "steps: [('powertransformer', PowerTransformer(copy=True, method='yeo-johnson', standardize=True)), ('transformedtargetregressor', TransformedTargetRegressor(check_inverse=True, func=None, inverse_func=None,
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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5 regressor=RandomForestRegressor(bootstrap=True,
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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6 criterion='mse',
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7 max_depth=None,
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8 max_features='auto',
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9 max_leaf_nodes=None,
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10 min_impurity_decrease=0.0,
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11 min_impurity_split=None,
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12 min_samples_leaf=1,
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13 min_samples_split=2,
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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14 min_weight_fraction_leaf=0.0,
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15 n_estimators='warn',
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16 n_jobs=1,
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17 oob_score=False,
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18 random_state=10,
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19 verbose=0,
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20 warm_start=False),
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21 transformer=QuantileTransformer(copy=True,
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22 ignore_implicit_zeros=False,
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23 n_quantiles=1000,
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24 output_distribution='uniform',
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25 random_state=10,
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26 subsample=100000)))]"
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27 @ transformedtargetregressor "transformedtargetregressor: TransformedTargetRegressor(check_inverse=True, func=None, inverse_func=None,
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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28 regressor=RandomForestRegressor(bootstrap=True,
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29 criterion='mse',
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30 max_depth=None,
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31 max_features='auto',
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32 max_leaf_nodes=None,
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33 min_impurity_decrease=0.0,
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34 min_impurity_split=None,
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35 min_samples_leaf=1,
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36 min_samples_split=2,
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37 min_weight_fraction_leaf=0.0,
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38 n_estimators='warn',
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39 n_jobs=1,
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40 oob_score=False,
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41 random_state=10,
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42 verbose=0,
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43 warm_start=False),
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44 transformer=QuantileTransformer(copy=True,
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45 ignore_implicit_zeros=False,
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46 n_quantiles=1000,
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47 output_distribution='uniform',
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48 random_state=10,
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49 subsample=100000))"
9
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50 @ verbose verbose: False
5
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51 @ powertransformer__copy powertransformer__copy: True
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52 @ powertransformer__method powertransformer__method: 'yeo-johnson'
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53 @ powertransformer__standardize powertransformer__standardize: True
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54 @ transformedtargetregressor__check_inverse transformedtargetregressor__check_inverse: True
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55 @ transformedtargetregressor__func transformedtargetregressor__func: None
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56 @ transformedtargetregressor__inverse_func transformedtargetregressor__inverse_func: None
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57 @ transformedtargetregressor__regressor "transformedtargetregressor__regressor: RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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58 max_features='auto', max_leaf_nodes=None,
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59 min_impurity_decrease=0.0, min_impurity_split=None,
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60 min_samples_leaf=1, min_samples_split=2,
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61 min_weight_fraction_leaf=0.0, n_estimators='warn',
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62 n_jobs=1, oob_score=False, random_state=10, verbose=0,
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63 warm_start=False)"
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64 @ transformedtargetregressor__regressor__bootstrap transformedtargetregressor__regressor__bootstrap: True
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65 @ transformedtargetregressor__regressor__criterion transformedtargetregressor__regressor__criterion: 'mse'
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66 @ transformedtargetregressor__regressor__max_depth transformedtargetregressor__regressor__max_depth: None
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67 @ transformedtargetregressor__regressor__max_features transformedtargetregressor__regressor__max_features: 'auto'
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68 @ transformedtargetregressor__regressor__max_leaf_nodes transformedtargetregressor__regressor__max_leaf_nodes: None
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69 @ transformedtargetregressor__regressor__min_impurity_decrease transformedtargetregressor__regressor__min_impurity_decrease: 0.0
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70 @ transformedtargetregressor__regressor__min_impurity_split transformedtargetregressor__regressor__min_impurity_split: None
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71 @ transformedtargetregressor__regressor__min_samples_leaf transformedtargetregressor__regressor__min_samples_leaf: 1
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72 @ transformedtargetregressor__regressor__min_samples_split transformedtargetregressor__regressor__min_samples_split: 2
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73 @ transformedtargetregressor__regressor__min_weight_fraction_leaf transformedtargetregressor__regressor__min_weight_fraction_leaf: 0.0
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74 @ transformedtargetregressor__regressor__n_estimators transformedtargetregressor__regressor__n_estimators: 'warn'
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75 * transformedtargetregressor__regressor__n_jobs transformedtargetregressor__regressor__n_jobs: 1
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76 @ transformedtargetregressor__regressor__oob_score transformedtargetregressor__regressor__oob_score: False
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77 @ transformedtargetregressor__regressor__random_state transformedtargetregressor__regressor__random_state: 10
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78 @ transformedtargetregressor__regressor__verbose transformedtargetregressor__regressor__verbose: 0
5
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79 @ transformedtargetregressor__regressor__warm_start transformedtargetregressor__regressor__warm_start: False
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80 @ transformedtargetregressor__transformer "transformedtargetregressor__transformer: QuantileTransformer(copy=True, ignore_implicit_zeros=False, n_quantiles=1000,
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81 output_distribution='uniform', random_state=10,
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82 subsample=100000)"
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83 @ transformedtargetregressor__transformer__copy transformedtargetregressor__transformer__copy: True
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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84 @ transformedtargetregressor__transformer__ignore_implicit_zeros transformedtargetregressor__transformer__ignore_implicit_zeros: False
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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85 @ transformedtargetregressor__transformer__n_quantiles transformedtargetregressor__transformer__n_quantiles: 1000
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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86 @ transformedtargetregressor__transformer__output_distribution transformedtargetregressor__transformer__output_distribution: 'uniform'
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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87 @ transformedtargetregressor__transformer__random_state transformedtargetregressor__transformer__random_state: 10
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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88 @ transformedtargetregressor__transformer__subsample transformedtargetregressor__transformer__subsample: 100000
2b8406e74f9e "planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 5b2ac730ec6d3b762faa9034eddd19ad1b347476"
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89 Note: @, params eligible for search in searchcv tool.