Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Automatically created tensorflow flow.
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
A decision tree regressor.
8 runs0 likes0 downloads0 reach0 impact
Randomized search on hyper parameters. RandomizedSearchCV implements a "fit" and a "score" method. It also implements "predict", "predict_proba", "decision_function", "transform" and…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach0 impact
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
8 runs0 likes0 downloads0 reach5 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
8 runs0 likes0 downloads0 reach4 impact
Learner mlr.classif.knn from package(s) class.
8 runs0 likes0 downloads0 reach0 impact
Ordinary least squares Linear Regression. LinearRegression fits a linear model with coefficients w = (w1, ..., wp) to minimize the residual sum of squares between the observed targets in the dataset,…
8 runs0 likes0 downloads0 reach1 impact
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
8 runs0 likes0 downloads0 reach7 impact
Automatically created tensorflow flow.
8 runs0 likes0 downloads0 reach0 impact
Flow generated by run_task
7 runs0 likes3 downloads3 reach6 impact
Learner classif.hdrda from package(s) sparsediscrim.
7 runs0 likes1 downloads1 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart from package(s) rpart.
7 runs0 likes0 downloads0 reach7 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
7 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
7 runs0 likes0 downloads0 reach4 impact
Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
7 runs0 likes0 downloads0 reach3 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
7 runs0 likes0 downloads0 reach6 impact
keras.wrappers.scikit_learn.KerasClassifier(Reshape,Lambda,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Conv2D,Conv2D,Conv2D,MaxPooling2D,BatchNormalization,Flatten,Dense,Dropout,Dense,Dropout,Dense) (1)
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach6 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach7 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach3 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach7 impact
Yasser EL-Manzalawy (2005). WLSVM. URL http://www.cs.iastate.edu/~yasser/wlsvm/. Chih-Chung Chang, Chih-Jen Lin (2001). LIBSVM - A Library for Support Vector Machines. URL…
7 runs0 likes2 downloads2 reach6 impact
J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
7 runs0 likes5 downloads5 reach6 impact
Learner classif.logreg from package(s) stats.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForest from package(s) randomForest.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.randomForest from package(s) randomForest.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.JRip from package(s) RWeka.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.rda from package(s) klaR.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.xgboost from package(s) xgboost.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.probit from package(s) stats.
7 runs0 likes1 downloads1 reach0 impact
Learner classif.bdk from package(s) kohonen.
7 runs0 likes1 downloads1 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
An extremely randomized tree classifier. Extra-trees differ from classic decision trees in the way they are built. When looking for the best split to separate the samples of a node into two groups,…
7 runs0 likes0 downloads0 reach0 impact
Linear least squares with l2 regularization. Minimizes the objective function:: ||y - Xw||^2_2 + alpha * ||w||^2_2 This model solves a regression model where the loss function is the linear least…
7 runs0 likes0 downloads0 reach0 impact
Automatically created keras flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created MXNet flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Weka implementation of CostSensitiveClassifier
7 runs0 likes0 downloads0 reach6 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.nnTrain.imputed.dummied.preproc from package(s) deepnet.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.mlp.imputed.dummied.preproc from package(s) RSNNS.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.sparseLDA.imputed.dummied.preproc from package(s) !sparseLDA, MASS, !elasticnet.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.cforest.imputed.preproc from package(s) party.
7 runs0 likes0 downloads0 reach0 impact
Learner mlr.classif.rpart.tuned from package(s) rpart.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach5 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach7 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach3 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach6 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach1 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
7 runs0 likes0 downloads0 reach6 impact
Weka implementation of MultiClassClassifier
7 runs0 likes0 downloads0 reach7 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach7 impact
Automatically created scikit-learn flow.
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and uses averaging to improve the predictive…
7 runs0 likes0 downloads0 reach7 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact
Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit…
7 runs0 likes0 downloads0 reach0 impact