knn 已做合并优化

competitions/getting-started/digit-recognizer/ccyf00_knn.md

@@ -1,46 +0,0 @@
-#!/usr/bin/python
-# coding: utf-8
-'''
-Created on 2018-05-16
-Update  on 2018-05-16
-Author: ccyf00
-Github: https://github.com/ccyf00/kaggle-1
-'''
-
-
-import pandas as pd
-import numpy as np
-import matplotlib.pyplot as plt
-import seaborn as sns
-from sklearn.model_selection import train_test_split
-from sklearn.decomposition import PCA
-from sklearn.neighbors import KNeighborsClassifier
-train=pd.read_csv('datasets/getting-started/digit-recognizer/input/train.csv')
-test=pd.read_csv('datasets/getting-started/digit-recognizer/input/test.csv')
-Y_train=train["label"]
-X_train=train.drop(['label'],axis=1)
-del train
-
-
-pca = PCA(n_components=45)
-X_train_transformed=pca.fit_transform(X_train)
-X_test_transformed=pca.transform(test)
-X_train_pca, X_test_pca, Y_train_pca, Y_test_pca = train_test_split(
-    X_train_transformed, Y_train, test_size=0.1, random_state=13)
-components = [10,15,20,25,30,35,40,45]
-neighbors = [2,3,4,5,6,7]
-scores = np.zeros((components[len(components)-1]+1,neighbors[len(neighbors)-1]+1))
-for component in components:
-    for n in neighbors:
-        knn=KNeighborsClassifier(n_neighbors=n)
-        knn.fit(X_train_pca[:,:component],Y_train_pca)
-        score = knn.score(X_test_pca[:,:component],Y_test_pca)
-        scores[component][n]=score
-        print('Components=',component,'neighbors = ',n,'Score = ',score)
-knn=KNeighborsClassifier(n_neighbors=5)
-knn.fit(X_train_pca[:,:35],Y_train_pca)
-predictLabel=knn.predict(X_test_transformed[:,:35])
-Submission = pd.DataFrame({"ImageId":range(1,predictLabel.shape[0]+1),
-                           "Label":predictLabel})
-Submission.to_csv("datasets/getting-started/digit-recognizer/ouput/KnnMnistSubmission.csv", index=False)
-#分数：0.97385

src/python/getting-started/digit-recognizer/knn-python3.6.py

@@ -2,8 +2,8 @@
 # coding: utf-8
 '''
 Created on 2017-10-26
-Update  on 2017-10-26
-Author: 片刻
+Update  on 2018-05-16
+Author: 片刻/ccyf00
 Github: https://github.com/apachecn/kaggle
 '''