High-Performance Machine Learning Framework with C++ Acceleration

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Documentation for package ‘VectorForgeML’ version 0.1.0

• DESCRIPTION file.

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accuracy_score	Accuracy Score
ColumnTransformer	Column Transformer
ColumnTransformer-class	Column Transformer
confusion_matrix	Confusion Matrix
confusion_stats	Confusion Matrix Statistics
DecisionTree	Decision Tree Model
DecisionTree-class	Decision Tree Model
drop_constant_columns	Drop Constant Columns
f1_score	F1 Score
find_best_k	Find Best K
fit_linear_model	Fit Linear Model (Fast C++ backend)
KMeans	KMeans Clustering
KMeans-class	KMeans Clustering
KNN	K-Nearest Neighbors Model
KNN-class	K-Nearest Neighbors Model
LabelEncoder	Label Encoder
LabelEncoder-class	Label Encoder
LinearRegression	Linear Regression Model
LinearRegression-class	Linear Regression Model
LogisticRegression	Logistic Regression Model
LogisticRegression-class	Logistic Regression Model
macro_f1	Macro Precision
macro_precision	Macro Precision
macro_recall	Macro Precision
MinMaxScaler	Standard Scaler
MinMaxScaler-class	Standard Scaler
mse	Mean Squared Error
OneHotEncoder	One Hot Encoder
OneHotEncoder-class	One Hot Encoder
PCA	Principal Component Analysis
PCA-class	Principal Component Analysis
Pipeline	Pipeline
Pipeline-class	Pipeline
plot_confusion_matrix	Plot Confusion Matrix
precision_score	Precision Score
predict_linear_model	Predict Linear Model
r2_score	R2 Score
RandomForest	Random Forest Model
RandomForest-class	Random Forest Model
recall_score	Recall Score
RidgeRegression	Ridge Regression Model
RidgeRegression-class	Ridge Regression Model
rmse	Root Mean Squared Error
SoftmaxRegression	Softmax Regression Model
SoftmaxRegression-class	Softmax Regression Model
StandardScaler	Drop Constant Columns
StandardScaler-class	Drop Constant Columns
train_test_split	Train Test Split