Index of Annotations

• Python

  • builtins

    • bool (python/builtins/bool)
    • complex (python/builtins/complex)
    • float (python/builtins/float)
    • int (python/builtins/int)
    • Python string (python/builtins/str)
    • Python unicode string (python/builtins/unicode)

  • numpy

    • load numpy array (python/numpy/genfromtxt)
    • load numpy array (python/numpy/loadtxt)
    • numpy array (python/numpy/ndarray)
    • numpy record array (python/numpy/recarray)

  • pandas

    • pandas data frame (python/pandas/data-frame)
    • data frame to CSV (python/pandas/data-frame-to-csv)
    • read data frame from Excel (python/pandas/read-excel)
    • read data frame via SQL query (python/pandas/read-sql-query)
    • read data frame from SQL table (python/pandas/read-sql-table)
    • read data frame (python/pandas/read-table)
    • pandas series (python/pandas/series)

  • scipy

    • hierarchical clustering in scipy (python/scipy/hierarchy-linkage)
    • k-means clustering in scipy (python/scipy/kmeans2)

  • sklearn

    • agglomerative clustering in scikit-learn (python/sklearn/agglomerative)
    • sklearn Classifier (python/sklearn/base-classifier)
    • sklearn Clusterer (python/sklearn/base-clusterer)
    • sklearn Estimator (python/sklearn/base-estimator)
    • sklearn Regressor (python/sklearn/base-regressor)
    • sklearn Selector (python/sklearn/base-selector)
    • sklearn SVC (python/sklearn/base-svc)
    • sklearn SVM base (python/sklearn/base-svm)
    • sklearn Transformer (python/sklearn/base-transformer)
    • decision function in sklearn (python/sklearn/decision-function)
    • fit sklearn model (python/sklearn/fit)
    • fit sklearn classification model (python/sklearn/fit-classification)
    • fit sklearn clustering model (python/sklearn/fit-predict-clustering)
    • fit sklearn regression model (python/sklearn/fit-regression)
    • fit then transform (python/sklearn/fit-transform)
    • k-means clustering in scikit-learn (python/sklearn/k-means)
    • kernel PCA in scikit-learn (python/sklearn/kernel-pca)
    • lasso in scikit-learn (python/sklearn/lasso)
    • linear regression in scikit-learn (python/sklearn/linear-regression)
    • sklearn linear SVC (python/sklearn/linear-svc)
    • sklearn linear SVR (python/sklearn/linear-svr)
    • logistic regression in scikit-learn (python/sklearn/logistic-regression)
    • MAE in sklearn (python/sklearn/mean-absolute-error)
    • MSE in sklearn (python/sklearn/mean-squared-error)
    • PCA in scikit-learn (python/sklearn/pca)
    • predict from sklearn classification model (python/sklearn/predict-classification)
    • predict from sklearn regression model (python/sklearn/predict-regression)
    • sklearn SVR (python/sklearn/svr)
    • sklearn SVR (python/sklearn/svr-nu)
    • transform using sklearn transformer (python/sklearn/transform)

  • sqlalchemy

    • SQLAlchemy expression (python/sqlalchemy/clause-element)
    • SQLAlchemy connection (python/sqlalchemy/connection)
    • SQLAlchemy engine (python/sqlalchemy/engine)

  • statsmodels

    • statsmodels dataset (python/statsmodels/dataset)
    • fit statsmodels Model (python/statsmodels/fit)
    • fit linear regression in statsmodels (python/statsmodels/fit-linear-regression)
    • read R dataset (python/statsmodels/get-r-dataset)
    • statsmodels Likelihood Model (python/statsmodels/likelihood-model)
    • linear regression in statsmodels (python/statsmodels/linear-regression)
    • statsmodels Model (python/statsmodels/model)
    • Least-squares in statsmodels (python/statsmodels/ols)
    • least-squares from formula (python/statsmodels/ols-from-formula)
    • statsmodels regression results (python/statsmodels/regression-results-wrapper)
    • statsmodels results (python/statsmodels/results-wrapper)

• R

  • Cubist

    • Cubist model in R (r/Cubist/cubist)
    • fit Cubist model in R (r/Cubist/fit-cubist)

  • VIF

    • fit VIF regression in R (r/VIF/fit-vif)
    • VIF regression in R (r/VIF/vif)

  • base

    • R character string (r/base/character)
    • R complex number (r/base/complex)
    • R data frame (r/base/data-frame)
    • R formula (r/base/formula)
    • R integer (r/base/integer)
    • R boolean (r/base/logical)
    • R matrix (r/base/matrix)
    • R number (r/base/numeric)
    • read RDS file (r/base/read-rds)
    • save RDS file (r/base/save-rds)

  • caret

    • dummy variables (r/caret/construct-dummy-vars)
    • dummy variables (r/caret/dummy-vars)
    • create dummy variables (r/caret/transform-dummy-vars)

  • randomForest

    • fit random forest in R (r/randomForest/fit-random-forst)
    • get tree from random forest in R (r/randomForest/get-tree)
    • random forest in R (r/randomForest/random-forest)

  • rpart

    • fit rpart model (r/rpart/fit-rpart)
    • rpart model (r/rpart/rpart)

  • stats

    • deviance (r/stats/deviance-glm)
    • deviance (r/stats/deviance-lm)
    • fit k-means clustering using R (r/stats/fit-k-means)
    • fit linear model in R (r/stats/fit-lm)
    • k-means clustering in R (r/stats/k-means)
    • Linear model in R (r/stats/lm)
    • predict from R model (r/stats/predict)

  • utils

    • read CSV file (r/utils/read-csv)
    • read CSV file (alternate) (r/utils/read-csv2)
    • read TSV file (r/utils/read-delim)
    • read TSV file (alternate) (r/utils/read-delim2)
    • read tabular file (r/utils/read-table)
    • write CSV file (r/utils/write-csv)
    • write CSV file (alternate) (r/utils/write-csv2)
    • write tabular file (r/utils/write-table)