Table A1 Seed functions with associated data analysis stages used in weak supervision heuristics (Sect. 4.3)
From: CORAL: COde RepresentAtion learning with weakly-supervised transformers for analyzing data analysis
Stage | Seed Functions |
|---|---|
Wrangle | pandas.read_csv |
pandas.read_csv.dropna | |
pandas.read_csv.fillna | |
pandas.DataFrame.fillna | |
sklearn.datasets.load_iris | |
scipy.misc.imread | |
scipy.io.loadmat | |
sklearn.preprocessing.LabelEncoder | |
scipy.interpolate.interp1d | |
Explore | matplotlib.pyplot.show |
matplotlib.pyplot.plot | |
matplotlib.pyplot.figure | |
seaborn.pairplot | |
seaborn.heatmap | |
seaborn.lmplot | |
pandas.read_csv.describe | |
pandas.DataFrame.describe | |
Model | sklearn.decomposition.PCA |
sklearn.naive_bayes.GaussianNB | |
sklearn.ensemble.RandomForestClassifier | |
sklearn.linear_model.LinearRegression | |
sklearn.linear_model.LogisticRegression | |
sklearn.tree.DecisionTreeRegressor | |
sklearn.ensemble.BaggingRegressor | |
sklearn.neighbors.KNeighborsClassifier | |
sklearn.naive_bayes.MultinomialNB | |
sklearn.svm.SVC | |
sklearn.tree.DecisionTreeClassifier | |
tensorflow.Session | |
sklearn.linear_model.Ridge | |
sklearn.linear_model.Lasso | |
Evaluate | sklearn.cross_validation.cross_val_score |
sklearn.metrics.mean_squared_error | |
sklearn.model_selection.cross_val_score | |
scipy.stats.ttest_ind | |
sklearn.metrics.accuracy_score |