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Binarizer — scikit-learn 1.6.1 documentation
threshold = 0.0 , copy = True ) [source] # Binarize...Parameters : threshold float, default=0.0 Feature values below or equal...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html -
make_moons — scikit-learn 1.6.1 documentation
( n_samples = 100 , * , shuffle = True , noise = None , random_state...>>> X , y = make_moons ( n_samples = 200 , noise = 0.2 , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
LoadReferrer | DBFlute
まずは普通に会員一覧 List<Member> memberList = memberBhv .selectList(cb -> {... List<Purchase> purchaseList = member. getPurchaseList() ; ......dbflute.seasar.org/ja/manual/function/ormapper/behavior/select/loadreferrer.html -
grid_search_cross_validation.png
PixelInterleaved width=885, height=613, bitDepth=8, colorType=RGBAlpha, ...red=8, green=8, blue=8, alpha=8 RGB 8 8 8 8 613 1 1.0 1 8 8 8...scikit-learn.org/stable/_images/grid_search_cross_validation.png -
roc_curve — scikit-learn 1.6.1 documentation
pos_label = None , sample_weight = None , drop_intermediate = True...default=None The label of the positive class. When pos_label=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
cosine_distances — scikit-learn 1.6.1 documenta...
cosine_distances >>> X = [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 ,...se. cosine_distances ( X , Y = None ) [source] # Compute cosine...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_distances.html -
NLog | APM .NET Agent Reference [1.x] | Elastic
<targets> <target type="file" name="logfile" fileName="myfile.txt"> <layout...<layout type="jsonlayout"> <attribute name="traceid" layout="${ElasticApmTraceId}"...www.elastic.co/guide/en/apm/agent/dotnet/current/nlog.html -
check_cv — scikit-learn 1.6.1 documentation
check_cv ( cv = 5 , y = None , * , classifier = False ) [source]...>>> check_cv ( cv = 5 , y = None , classifier = False ) KFold(...)...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
make_circles — scikit-learn 1.6.1 documentation
( n_samples = 100 , * , shuffle = True , noise = None , random_state...random_state = None , factor = 0.8 ) [source] # Make a large circle...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
MultiLabelBinarizer — scikit-learn 1.6.1 docume...
j] == 1 . set_output ( * , transform = None ) [source]...MultiLabelBinarizer ( * , classes = None , sparse_output = False ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html
