Toggle navigation
mlxtend
Home
User Guide
User Guide Index
classifier
Adaptive Linear Neuron -- Adaline
EnsembleVoteClassifier
Logistic Regression
Neural Network - Multilayer Perceptron
Perceptron
Softmax Regression
StackingClassifier
StackingCVClassifier
cluster
Kmeans
data
Auto MPG
Boston Housing Data
Iris Dataset
Load the MNIST Dataset from Local Files
Make Multiplexer Dataset
MNIST Dataset
Three Blobs Dataset
Wine Dataset
evaluate
Bootstrap
bootstrap_point632_score
BootstrapOutOfBag
Cochran's Q Test
5x2cv combined *F* test
Confusion Matrix
Feature Importance Permutation
F-Test
Lift Score
Contigency Table for McNemar's Test
Contigency Tables for McNemar's Test and Cochran's Q Test
McNemar's Test
5x2cv paired *t* test
K-fold cross-validated paired *t* test
Resampled paired *t* test
Permutation Test
PredefinedHoldoutSplit
RandomHoldoutSplit
Scoring
feature_extraction
Linear Discriminant Analysis
Principal Component Analysis
RBFKernelPCA
feature_selection
ColumnSelector
Exhaustive Feature Selector
Sequential Feature Selector
file_io
Find Filegroups
Find Files
frequent_patterns
Apriori
Association rules
general concepts
Activation Functions for Artificial Neural Networks
Gradient Descent and Stochastic Gradient Descent
Deriving the Gradient Descent Rule for Linear Regression and Adaline
Regularization of Generalized Linear Models
image
Extract Face Landmarks
math
Compute the Number of Combinations
Compute the Number of Permutations
Vectorspace Dimensionality
Vectorspace Orthonormalization
plotting
Scatterplot with Categories
Checkerboard Plot
Empirical Cumulative Distribution Function Plot
Enrichment Plot
Confusion Matrix
Plotting Decision Regions
Plotting Learning Curves
Linear Regression Plot
Plot Sequential Feature Selection
Scatter Plot Matrix
Stacked Barplot
preprocessing
CopyTransformer
DenseTransformer
Mean Centerer
MinMax Scaling
One hot encoding
Shuffle Arrays in Unison
Standardize
TransactionEncoder
regressor
LinearRegression
StackingCVRegressor
StackingRegressor
text
Generalize Names
Generalize Names & Duplicate Checking
Tokenizer
utils
Counter
API
Mlxtend.classifier
Mlxtend.cluster
Mlxtend.data
Mlxtend.evaluate
Mlxtend.feature extraction
Mlxtend.feature selection
Mlxtend.file io
Mlxtend.frequent patterns
Mlxtend.image
Mlxtend.plotting
Mlxtend.preprocessing
Mlxtend.regressor
Mlxtend.text
Mlxtend.utils
Installation
About
Release Notes
How To Contribute
Contributors
License
Citing Mlxtend
Discuss
Search
GitHub
Activation Functions for Artificial Neural Networks
Activation Functions for Artificial Neural Networks
×
Close
Search
From here you can search these documents. Enter your search terms below.