Removed bloat, Added logreg_train

1 files changed, 0 insertions, 49 deletions

diff --git a/src/analysis.py b/src/analysis.py
deleted file mode 100644
index b6c9eb9..0000000
--- a/src/analysis.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-
-from dataset import Dataset
-import dslr_stat
-
-
-class Analysis(Dataset):
-    def __init__(self, path):
-        super().__init__(path)
-
-    def describe(self):
-        desc_df = pd.DataFrame(
-            dtype=np.float64,
-            columns=[c for c, t in zip(self.df.columns, self.df.dtypes) if t == np.float64],
-            index=['Count', 'Mean', 'Std', 'Min', '25%', '50%', '75%', 'Max']
-        )
-        for col in desc_df.columns:
-            desc_df.loc['Count', col] = len(self.df[col])
-            desc_df.loc['Mean', col] = dslr_stat.mean(self.df[col])
-            desc_df.loc['Std', col] = dslr_stat.std(self.df[col])
-            desc_df.loc['Min', col] = dslr_stat.min(self.df[col])
-            desc_df.loc['25%', col] = dslr_stat.q25(self.df[col])
-            desc_df.loc['50%', col] = dslr_stat.median(self.df[col])
-            desc_df.loc['75%', col] = dslr_stat.q75(self.df[col])
-            desc_df.loc['Max', col] = dslr_stat.max(self.df[col])
-        print(desc_df)
-
-    def hist(self):
-        pass
-
-    def scatter(self):
-        plt.scatter(self.df['astronomy'], self.df['defense_against_the_dark_arts'])
-        plt.show()
-
-    def pair_plot(self):
-        scores = self.df_scores
-        fig, axis = plt.subplots(nrows=scores.shape[1],
-                                 ncols=scores.shape[1])
-        for i, col in enumerate(scores.columns):
-            for j, pair_col in enumerate(scores.columns):
-                ax = axis[i, j]
-                if pair_col == col:
-                    ax.hist(scores)
-                    continue
-                ax.scatter(scores[col], scores[pair_col])
-        plt.tight_layout()
-        plt.show()