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Merged
CuriseJia merged 1 commit into from
Aug 17, 2022
Merged

0.0.5 #7

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8 changes: 0 additions & 8 deletions .idea/.gitignore
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8 changes: 0 additions & 8 deletions .idea/OpenBaseLab-Edu.iml
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6 changes: 0 additions & 6 deletions .idea/inspectionProfiles/profiles_settings.xml
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4 changes: 0 additions & 4 deletions .idea/misc.xml
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8 changes: 0 additions & 8 deletions .idea/modules.xml
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6 changes: 0 additions & 6 deletions .idea/vcs.xml
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11 changes: 0 additions & 11 deletions BaseML/AdaBoost.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,10 +19,6 @@ def train(self, seed=0, data_type='csv'):
np.random.seed(seed)
if data_type == 'csv':
dataset = pd.read_csv(self.dataset_path, sep=',', header=None).values
elif data_type == 'pandas':
dataset = self.load_pd()
elif data_type == 'list':
dataset = self.load_list()
np.random.shuffle(dataset)

data, label = dataset[:, :-1], dataset[:, -1]
Expand All @@ -46,10 +42,3 @@ def inference(self, mode='cls'):
def load_dataset(self, path, test_size=0.2):
self.dataset_path = path
self.test_size = test_size

def load_pd(self):
pass

def load_list(self):
pass

10 changes: 0 additions & 10 deletions BaseML/GaussianNB.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,10 +20,6 @@ def train(self, seed=0, data_type='csv'):
np.random.seed(seed)
if data_type == 'csv':
dataset = pd.read_csv(self.dataset_path, sep=',', header=None).values
elif data_type == 'pandas':
dataset = self.load_pd()
elif data_type == 'list':
dataset = self.load_list()
np.random.shuffle(dataset)

data, label = dataset[:, :-1], dataset[:, -1]
Expand All @@ -47,9 +43,3 @@ def inference(self, mode='cls'):
def load_dataset(self, path, test_size=0.2):
self.dataset_path = path
self.test_size = test_size

def load_pd(self):
pass

def load_list(self):
pass
12 changes: 1 addition & 11 deletions BaseML/LR.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,11 +16,7 @@ def __init__(self,):
def train(self, seed=0, data_type='csv'):
np.random.seed(seed)
if data_type == 'csv':
dataset = pd.read_csv(self.dataset_path,sep=',',header=None).values
elif data_type == 'pandas':
dataset = self.load_pd()
elif data_type == 'list':
dataset = self.load_list()
dataset = pd.read_csv(self.dataset_path,sep=',',header=None).values
np.random.shuffle(dataset)

data, label = dataset[:,:-1],dataset[:,-1]
Expand All @@ -40,9 +36,3 @@ def inference(self, mode='cls'):
def load_dataset(self,path,test_size=0.2):
self.dataset_path = path
self.test_size = test_size

def load_pd(self):
pass

def load_list(self):
pass
10 changes: 0 additions & 10 deletions BaseML/SVM.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,10 +19,6 @@ def train(self, seed=0, data_type='csv'):
np.random.seed(seed)
if data_type == 'csv':
dataset = pd.read_csv(self.dataset_path, sep=',', header=None).values
elif data_type == 'pandas':
dataset = self.load_pd()
elif data_type == 'list':
dataset = self.load_list()
np.random.shuffle(dataset)

data, label = dataset[:, :-1], dataset[:, -1]
Expand All @@ -46,9 +42,3 @@ def inference(self, mode='cls'):
def load_dataset(self, path, test_size=0.2):
self.dataset_path = path
self.test_size = test_size

def load_pd(self):
pass

def load_list(self):
pass
15 changes: 15 additions & 0 deletions tools/save_model.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,15 @@
import pickle

def save(self,save_path="latest.pkl"):
print("即将开始保存模型...")
f = open(save_path,"wb")
pickle.dump(self.model,f)
f.close()
print("保存模型 ",save_path," 成功！")

def load_model(self,load_path="latest.pkl"):
print("即将开始加载模型...")
f = open(load_path,"rb")
self.model = pickle.load(f)
f.close()
print("加载模型 ",load_path," 成功！")