- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 541 - 550 of 2,535 for = (0.06 sec)
-
6.2. Feature extraction — scikit-learn 1.5.2 do...
array(['pos+1=PP', 'pos-1=NN', 'pos-2=DT', 'word+1=on', 'word-1=cat',...TfidfTransformer(norm='l2', use_idf=True, smooth_idf=True, sublinear_tf=False)...scikit-learn.org/stable/modules/feature_extraction.html -
TransformedTargetRegressor — scikit-learn 1.5.2...
regressor = None , * , transformer = None , func = None , inverse_func...... func = np . log , inverse_func = np . exp ) >>> X = np . arange...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
Face completion with a multi-output estimators ...
targets = fetch_olivetti_faces ( return_X_y = True ) train = data...n_faces = 5 rng = check_random_state ( 4 ) face_ids = rng . randint...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
How to use the ES|QL Helper in the Elasticsearc...
{"columns"=>[ {"name"=>"@timestamp", "type"=>"date"}, {"name"=>"client.ip",..., "type"=>"ip"}, {"name"=>"event.duration", "type"=>"long"},...www.elastic.co/search-labs/blog/esql-ruby-helper-elasticsearch -
Comparison of LDA and PCA 2D projection of Iris...
[ y == i , 0 ], X_r2 [ y == i , 1 ], alpha = 0.8 , color = color...( X_r [ y == i , 0 ], X_r [ y == i , 1 ], color = color , alpha...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
Comparing various online solvers — scikit-learn...
( max_iter = 110 , loss = "hinge" , C = 1.0 , tol = 1e-4 ), ),...max_iter = 110 , loss = "squared_hinge" , C = 1.0 , tol = 1e-4 ),...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
fastica — scikit-learn 1.5.2 documentation
fun = 'logcosh' , fun_args = None , max_iter = 200 , tol = 0.0001...n_components = None , * , algorithm = 'parallel' , whiten = 'unit-variance'...scikit-learn.org/stable/modules/generated/fastica-function.html -
LassoLars — scikit-learn 1.5.2 documentation
copy_X = True , fit_path = True , positive = False , jitter = None...( alpha = 1.0 , * , fit_intercept = True , verbose = False ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html -
CountVectorizer — scikit-learn 1.5.2 documentation
ngram_range=(1 , 1) , analyzer='word' , max_df=1.0 , min_df=1 , max_features=None...max_features=None , vocabulary=None , binary=False , dtype=<class 'numpy.int64'>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
SAStruts での利用
-DgroupId=org.example -DartifactId=sample -Dversion=1.0.0-SNAPSHOT...-DarchetypeRepository=http://maven.seasar.org/maven2/ \ -DarchetypeGroupId=org.seasar.sastruts...dbflute.seasar.org/maven/plugin/ja/sastruts.html