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Functions479 in github.com/PacktCode/Practical-Machine-Learning

⨍ Functions 479◇ Types & classes 103
↓ 88 callersMethodadd
Add a transaction to the tree.
python-sckit-learn/chapter7/fpgrowthexample/fp_growth.py:96
↓ 62 callersMethodgetValue
()
mahout/chapter11/dlexample/src/main/java/AutoencoderFctGrd.java:59
↓ 43 callersMethodchild
(self, item, count=None)
python-sckit-learn/chapter7/fpgrowthexample/test-fpgrowth.py:18
↓ 43 callersMethodgetW1
()
mahout/chapter11/dlexample/src/main/java/AutoencoderFctGrd.java:27
↓ 32 callersMethodtoString
()
mahout/chapter11/dlexample/src/main/java/AutoencoderFctGrd.java:67
↓ 25 callersMethodfit
takes input of features and corresponding labels
python-sckit-learn/chapter6/knnexample/KNN.py:28
↓ 24 callersMethodcollect
(String x1, List<Pair<List<String>, Long>> listPair)
mahout/chapter7/fpgrowthexample/src/main/java/com/packt/pml/mahout/fpgrowth/FrequentPatternMiningJava.java:206
↓ 23 callersMethodgetW2
()
mahout/chapter11/dlexample/src/main/java/AutoencoderFctGrd.java:35
↓ 23 callersFunctionswap
julia/chapter6/svmexample/reference/svm.cpp:18
↓ 17 callersMethodgetB1
()
mahout/chapter11/dlexample/src/main/java/AutoencoderFctGrd.java:43
↓ 17 callersMethodtrain
(JavaRDD<Vector> data)
mahout/chapter11/dlexample/src/main/java/Autoencoder.java:70
↓ 16 callersFunctioninfo
julia/chapter6/svmexample/reference/svm.cpp:46
↓ 15 callersMethodupdate
(AutoencoderParams oldGrad, AutoencoderFctGrd result, double alpha, double momentum)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:204
↓ 14 callersMethodgetB2
()
mahout/chapter11/dlexample/src/main/java/AutoencoderFctGrd.java:51
↓ 14 callersMethodshow
()
mahout/chapter13/ensembleexample/src/main/java/com/packt/pml/mahout/ensemble/Utilities.java:32
↓ 13 callersMethodsplit
(JavaRDD<Vector> data)
mahout/chapter11/dlexample/src/main/java/Autoencoder.java:138
↓ 12 callersFunctionmin
julia/chapter6/svmexample/reference/svm.cpp:13
↓ 10 callersMethodcount
The count associated with this node's item.
python-sckit-learn/chapter7/fpgrowthexample/fp_growth.py:257
↓ 10 callersMethodget_Q
julia/chapter6/svmexample/reference/svm.cpp:1264
↓ 10 callersFunctionmax
julia/chapter6/svmexample/reference/svm.cpp:16
↓ 10 callersMethodpredict
Classify features according to euclidian_distance from all data points Parameters: X: numpy ndarray
python-sckit-learn/chapter6/knnexample/KNN.py:35
↓ 9 callersMethodlog
(Object o)
mahout/chapter7/fpgrowthexample/src/main/java/com/packt/pml/mahout/fpgrowth/FrequentPatternMetrics.java:83
↓ 9 callersMethodsigmoid
(double x)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:18
↓ 8 callersMethodfit
Perform model fitting and ensemble building
python-sckit-learn/chapter13/ensembleexample/ensemble.py:287
↓ 8 callersMethodpredict
Predict class labels for samples in X.
python-sckit-learn/chapter13/ensembleexample/ensemble.py:675
↓ 7 callersMethodcall
(Integer a, Integer b)
mahout/chapter11/dlexample/src/test/java/MaxPoolerTest.java:58
↓ 7 callersMethodpredict_proba
Probability estimates for all classes (ordered by class label)
python-sckit-learn/chapter13/ensembleexample/ensemble.py:663
↓ 6 callersMethodMAM
(DenseMatrix m, double[] v)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:49
↓ 6 callersMethodgetBeta
()
mahout/chapter11/dlexample/src/main/java/AutoencoderConfig.java:98
↓ 6 callersMethoditems
Generate one 2-tuples for each item represented in the tree. The first element of the tuple is the item itself, and the second elemen
python-sckit-learn/chapter7/fpgrowthexample/fp_growth.py:130
↓ 6 callersMethodprefix_paths
Generate the prefix paths that end with the given item.
python-sckit-learn/chapter7/fpgrowthexample/fp_growth.py:153
↓ 6 callersFunctionsvm_predict
julia/chapter6/svmexample/reference/svm.cpp:2517
↓ 5 callersMethodSolve
julia/chapter6/svmexample/reference/svm.cpp:502
↓ 5 callersFunctionbuild_models
(model_class, param_grid)
python-sckit-learn/chapter13/ensembleexample/model_library.py:24
↓ 5 callersFunctionclone
julia/chapter6/svmexample/reference/svm.cpp:19
↓ 5 callersMethodgetLambda
()
mahout/chapter11/dlexample/src/main/java/AutoencoderConfig.java:90
↓ 5 callersMethodgetRho
()
mahout/chapter11/dlexample/src/main/java/AutoencoderConfig.java:82
↓ 5 callersMethodnodes
(self, item)
python-sckit-learn/chapter7/fpgrowthexample/test-fpgrowth.py:43
↓ 5 callersFunctionsvm_free_and_destroy_model
julia/chapter6/svmexample/reference/svm.cpp:2921
↓ 5 callersFunctionsvm_train
Interface functions
julia/chapter6/svmexample/reference/svm.cpp:2059
↓ 4 callersMethoddot
julia/chapter6/svmexample/reference/svm.cpp:292
↓ 4 callersMethodgetNumSamples
()
mahout/chapter11/dlexample/src/main/java/AutoencoderComputedParams.java:20
↓ 4 callersFunctionsparsify
julia/chapter6/svmexample/reference/libsvm_wrapper.c:19
↓ 4 callersFunctionsvm_predict_values
julia/chapter6/svmexample/reference/svm.cpp:2441
↓ 4 callersFunctiontranssparse
julia/chapter6/svmexample/reference/libsvm_wrapper.c:48
↓ 3 callersMethodMVM
(DenseMatrix m, Vector v)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:29
↓ 3 callersMethodVAA
(Vector v1,double[] v2)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:117
↓ 3 callersMethodVVA
(Vector v1,Vector v2)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:105
↓ 3 callersMethod_get_best_model
perform query for best scoring model
python-sckit-learn/chapter13/ensembleexample/ensemble.py:515
↓ 3 callersFunctioncomputeLogLoss
(p, y)
spark/chapter10/linearregressionexample/ClickRate.py:109
↓ 3 callersMethodgetMomentum
()
mahout/chapter11/dlexample/src/main/java/AutoencoderConfig.java:114
↓ 3 callersFunctiongetSupport
local function which Returns the support of an item
python-sckit-learn/chapter7/aprioriexample/apriori.py:92
↓ 3 callersMethodget_data
julia/chapter6/svmexample/reference/svm.cpp:124
↓ 3 callersFunctionparseOHEPoint
create LabeledPoint in form of (label, sparse vector of features)
spark/chapter10/linearregressionexample/ClickRate.py:78
↓ 3 callersMethodsearch
Check whether this node contains a child node for the given item. If so, that node is returned; otherwise, `None` is returned.
python-sckit-learn/chapter7/fpgrowthexample/fp_growth.py:233
↓ 2 callersMethodDP
(DenseMatrix w1, DenseMatrix w2)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:299
↓ 2 callersMethodMMAM
(DenseMatrix w1, DenseMatrix w2, double alpha)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:314
↓ 2 callersMethodVVAM
(DenseVector b1, DenseVector b2, double alpha)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:330
↓ 2 callersMethod__priorProb
An auxiliary function used on classify method. It gives the result of the log of pdf of the Normal Distribution
python-sckit-learn/chapter9/naivebayesexample/naivebayes-classifier.py:54
↓ 2 callersMethod_get_ensemble_score
Get score for model ensemble
python-sckit-learn/chapter13/ensembleexample/ensemble.py:407
↓ 2 callersMethod_model_predict_proba
Get probability predictions for a model given its index
python-sckit-learn/chapter13/ensembleexample/ensemble.py:626
↓ 2 callersMethod_score_with_model
compute ensemble score with specified model added
python-sckit-learn/chapter13/ensembleexample/ensemble.py:432
↓ 2 callersMethod_update_route
Add the given node to the route through all nodes for its item.
python-sckit-learn/chapter7/fpgrowthexample/fp_growth.py:118
↓ 2 callersMethodbest_model_predict
Predict class labels for samples in X using best model
python-sckit-learn/chapter13/ensembleexample/ensemble.py:659
↓ 2 callersMethodbest_model_predict_proba
Probability estimates for all classes (ordered by class label) using best model
python-sckit-learn/chapter13/ensembleexample/ensemble.py:649
↓ 2 callersMethodclassify
(self, test_set)
python-sckit-learn/chapter9/naivebayesexample/naivebayes-classifier.py:96
↓ 2 callersMethodcomputeTestError
(double alpha)
mahout/chapter11/dlexample/src/main/java/AutoencoderLineSearch.java:67
↓ 2 callersFunctionconvert
(data)
python-sckit-learn/chapter5/randomforstexample/random-forests.py:25
↓ 2 callersMethoddeepApproximateEquals
(double[][][] x, double[][][] y, double epsilon)
mahout/chapter11/dlexample/src/test/java/FFTConvolutionTest.java:56
↓ 2 callersFunctionevaluateResults
(model, data)
spark/chapter10/linearregressionexample/ClickRate.py:137
↓ 2 callersMethodgetGradient
()
mahout/chapter11/dlexample/src/main/java/AutoencoderGradient3.java:43
↓ 2 callersMethodgetIncreaseMomentum
()
mahout/chapter11/dlexample/src/main/java/AutoencoderConfig.java:130
↓ 2 callersMethodgetNumBatches
()
mahout/chapter11/dlexample/src/main/java/AutoencoderConfig.java:146
↓ 2 callersMethodgetNumEpochs
()
mahout/chapter11/dlexample/src/main/java/AutoencoderConfig.java:138
↓ 2 callersMethodinitialize
(int num_input, int num_hidden)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:141
↓ 2 callersMethodleaf
(self)
python-sckit-learn/chapter7/fpgrowthexample/test-fpgrowth.py:33
↓ 2 callersMethodloadData
(String[] sData, String descriptor)
mahout/chapter5/randomforestexample/src/main/java/com/packt/pml/mahout/randomforest/RandomForest.java:138
↓ 2 callersMethodnodes
Generate the sequence of nodes that contain the given item.
python-sckit-learn/chapter7/fpgrowthexample/fp_growth.py:139
↓ 2 callersFunctionpowi
julia/chapter6/svmexample/reference/svm.cpp:24
↓ 2 callersFunctionpredict_with_bias
(x, weights)
python-sckit-learn/chapter11/dlexample/perceptron.py:98
↓ 2 callersFunctionreadline
julia/chapter6/svmexample/reference/svm.cpp:2671
↓ 2 callersFunctionreturnItemsWithMinSupport
calculates the support for items in the itemSet and returns a subset of the itemSet each of whose elements satisfies the minimum support
python-sckit-learn/chapter7/aprioriexample/apriori.py:22
↓ 2 callersFunctionsvm_group_classes
label: label name, start: begin of each class, count: #data of classes, perm: indices to the original data perm, length l, must be allocated before ca
julia/chapter6/svmexample/reference/svm.cpp:1999
↓ 2 callersFunctionsvm_predict_probability
julia/chapter6/svmexample/reference/svm.cpp:2532
↓ 2 callersFunctionsvm_train_one
julia/chapter6/svmexample/reference/svm.cpp:1632
↓ 2 callersMethodswap_index
julia/chapter6/svmexample/reference/svm.cpp:154
↓ 2 callersMethodtest
()
mahout/chapter11/dlexample/src/test/java/OneLayerTest.java:43
↓ 1 callersMethodAAA
(double[] v1,double[] v2)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:129
↓ 1 callersMethodGetTransactionCount
()
mahout/chapter7/fpgrowthexample/src/main/java/com/packt/pml/mahout/fpgrowth/FrequentPatternMetrics.java:69
↓ 1 callersMethodInit
()
mahout/chapter7/fpgrowthexample/src/main/java/com/packt/pml/mahout/fpgrowth/FrequentPatternMetrics.java:57
↓ 1 callersMethodMTAM
(DenseMatrix m, double[] v)
mahout/chapter11/dlexample/src/main/java/AutoencoderLinAlgebra.java:86
↓ 1 callersFunction_bootstraps
return bootstrap sample indices for given n
python-sckit-learn/chapter13/ensembleexample/ensemble.py:70
↓ 1 callersMethod_check_params
Parameter sanity checks
python-sckit-learn/chapter13/ensembleexample/ensemble.py:185
↓ 1 callersMethod_ensemble_from_candidates
Build an ensemble from a list of candidate models
python-sckit-learn/chapter13/ensembleexample/ensemble.py:450
↓ 1 callersMethod_euclidian_distance
Computes Euclidian Distance b/w two feature vectors X1 can be a numpy ndarray and x2 is numpy array
python-sckit-learn/chapter6/knnexample/KNN.py:17
↓ 1 callersMethod_init_db
Initialize database
python-sckit-learn/chapter13/ensembleexample/ensemble.py:218
↓ 1 callersMethod_print_best_results
Show best model and score
python-sckit-learn/chapter13/ensembleexample/ensemble.py:538
↓ 1 callersMethod_score_models
Get cross-validated test scores for each model
python-sckit-learn/chapter13/ensembleexample/ensemble.py:350
↓ 1 callersMethodassertPathsEqual
(self, expected, actual)
python-sckit-learn/chapter7/fpgrowthexample/test-fpgrowth.py:46
↓ 1 callersMethodatLeastK
Compute a symmetric two-dimensional array from a non-symmetric two-dimensional array M by taking the maximum between M and M<sup>T</sup>. @param M
mahout/chapter6/knnexample/main/java/KNearestNeighbor.java:190
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