From a0de5c6cf166173a0e2c59b0eebca119fe87901f Mon Sep 17 00:00:00 2001 From: JiaYanhao <2474840061@qq.com> Date: Wed, 28 Sep 2022 23:43:10 +0800 Subject: [PATCH] add demo --- .idea/.gitignore | 8 ++++++ .idea/OpenBaseLab-Edu.iml | 8 ++++++ .../inspectionProfiles/profiles_settings.xml | 6 +++++ .idea/misc.xml | 4 +++ .idea/modules.xml | 8 ++++++ .idea/vcs.xml | 6 +++++ BaseML/Classification.py | 24 +++++++++++++++++- BaseML/__init__.py | 6 ++++- BaseML/__pycache__/AdaBoost.cpython-39.pyc | Bin 0 -> 1939 bytes BaseML/__pycache__/CART.cpython-39.pyc | Bin 0 -> 1196 bytes .../__pycache__/Classification.cpython-39.pyc | Bin 0 -> 3983 bytes BaseML/__pycache__/GaussianNB.cpython-39.pyc | Bin 0 -> 2276 bytes .../__pycache__/KNNClassifier.cpython-39.pyc | Bin 0 -> 1564 bytes BaseML/__pycache__/PCA.cpython-39.pyc | Bin 0 -> 1184 bytes BaseML/__pycache__/Perceptron.cpython-39.pyc | Bin 0 -> 1221 bytes BaseML/__pycache__/Regression.cpython-39.pyc | Bin 0 -> 2700 bytes BaseML/__pycache__/SVM.cpython-39.pyc | Bin 0 -> 1843 bytes BaseML/__pycache__/__init__.cpython-39.pyc | Bin 0 -> 505 bytes demo/kemans.py | 12 +++++++++ 19 files changed, 80 insertions(+), 2 deletions(-) create mode 100644 .idea/.gitignore create mode 100644 .idea/OpenBaseLab-Edu.iml create mode 100644 .idea/inspectionProfiles/profiles_settings.xml create mode 100644 .idea/misc.xml create mode 100644 .idea/modules.xml create mode 100644 .idea/vcs.xml create mode 100644 BaseML/__pycache__/AdaBoost.cpython-39.pyc create mode 100644 BaseML/__pycache__/CART.cpython-39.pyc create mode 100644 BaseML/__pycache__/Classification.cpython-39.pyc create mode 100644 BaseML/__pycache__/GaussianNB.cpython-39.pyc create mode 100644 BaseML/__pycache__/KNNClassifier.cpython-39.pyc create mode 100644 BaseML/__pycache__/PCA.cpython-39.pyc create mode 100644 BaseML/__pycache__/Perceptron.cpython-39.pyc create mode 100644 BaseML/__pycache__/Regression.cpython-39.pyc create mode 100644 BaseML/__pycache__/SVM.cpython-39.pyc create mode 100644 BaseML/__pycache__/__init__.cpython-39.pyc create mode 100644 demo/kemans.py diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..13566b8 --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,8 @@ +# Default ignored files +/shelf/ +/workspace.xml +# Editor-based HTTP Client requests +/httpRequests/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml diff --git a/.idea/OpenBaseLab-Edu.iml b/.idea/OpenBaseLab-Edu.iml new file mode 100644 index 0000000..08fc73f --- /dev/null +++ b/.idea/OpenBaseLab-Edu.iml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml new file mode 100644 index 0000000..105ce2d --- /dev/null +++ b/.idea/inspectionProfiles/profiles_settings.xml @@ -0,0 +1,6 @@ + + + + \ No newline at end of file diff --git a/.idea/misc.xml b/.idea/misc.xml new file mode 100644 index 0000000..45d5172 --- /dev/null +++ b/.idea/misc.xml @@ -0,0 +1,4 @@ + + + + \ No newline at end of file diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..29a39d1 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..94a25f7 --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/BaseML/Classification.py b/BaseML/Classification.py index ecac105..1137280 100644 --- a/BaseML/Classification.py +++ b/BaseML/Classification.py @@ -8,10 +8,12 @@ from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import train_test_split from sklearn.svm import SVC +from sklearn.cluster import KMeans +from sklearn.metrics import silhouette_score, silhouette_samples import joblib class cls: - def __init__(self, algorithm='KNN', n_neighbors=5, n_estimators=100, ): + def __init__(self, algorithm='KNN', n_neighbors=5, n_estimators=100, N_CLUSTERS=5): self.algorithm = algorithm self.cwd = os.path.dirname(os.getcwd()) # 获取当前文件的绝对路径 self.file_dirname = os.path.dirname(os.path.abspath(__file__)) @@ -29,6 +31,9 @@ def __init__(self, algorithm='KNN', n_neighbors=5, n_estimators=100, ): self.model = DecisionTreeClassifier() elif self.algorithm == 'AdaBoost': self.model = AdaBoostClassifier(n_estimators=n_estimators, random_state=0) + elif self.algorithm == 'Kmeans': + self.n = N_CLUSTERS + self.model = KMeans(self.n) def train(self, seed=0, data_type='csv'): if self.algorithm == 'AdaBoost' or 'SVM' or 'NaiveBayes': @@ -57,21 +62,38 @@ def train(self, seed=0, data_type='csv'): self.model.fit(self.x_train, self.y_train) acc = self.model.score(self.x_test, self.y_test) print('准确率为：{}%'.format(acc * 100)) + + elif self.algorithm == 'Kmeans': + self.dataset = pd.read_csv(self.dataset_path) + self.x_train = self.dataset.drop('省级行政区', axis=1) + self.x_train = self.x_train.drop("城市", axis=1) + self.x_np = np.array(self.x_train) + self.model.fit(self.x_np) def inference(self, data): if self.algorithm == 'AdaBoost' or 'SVM' or 'NaiveBayes': pred = self.model.predict(self.test_set['data']) acc = accuracy_score(self.test_set['label'], pred) print('准确率为：{}%'.format(acc * 100)) + elif self.algorithm == 'KNN': result = self.model.predict(data) print(result) print("分类结果：{}".format(self.dataset['target_names'][result])) + elif self.algorithm == 'CART': self.model.fit_transform(data) print(self.model.n_features_) print(self.model.n_samples_) + elif self.algorithm == 'Kmeans': + labels = self.model.labels_ # 获取聚类标签 + print(silhouette_score(self.x_np, labels)) # 获取聚类结果总的轮廓系数 + print(self.model.cluster_centers_) # 输出类簇中心 + for i in range(self.n): + print(f" CLUSTER-{i+1} ".center(60, '=')) + print(self.dataset[labels == i]) + def load_dataset(self, path, test_size=0.2, dataset=''): self.dataset_path = path self.test_size = 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