摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's sev... 阅读全文

摘要：from albumentations import * import time IMG_SIZE = (224,224) '''Use case from https://www.kaggle.com/alexanderliao/image-augmentation-demo-with-albumentation/''' def albaugment(aug0, img): ret... 阅读全文

摘要：from keras import layers from keras.models import Model import keras.backend as K K.clear_session() densenet = DenseNet121(weights=None,include_top=False,input_shape=(None,None,3)) GAP_layer = l... 阅读全文

摘要：dpi = 80 #inch path_jpg=f"F:\\kaggleDataSet\\diabeticRetinopathy\\resized_train_cropped\\18017_left.jpeg" # too many vessels? path_png=f"F:\\kaggleDataSet\\diabeticRetinopathy\\rescaled_train_896\\1... 阅读全文

摘要：%%time NUM_SAMP=10 fig = plt.figure(figsize=(25, 16)) for jj in range(5): for i, (idx, row) in enumerate(df_test.sample(NUM_SAMP,random_state=SEED+jj).iterrows()): ax = fig.add_subplot(5,... 阅读全文

摘要：def circle_crop(img, sigmaX=10): """ Create circular crop around image centre """ img = cv2.imread(img) img = crop_image_from_gray(img) img = cv2.cvtColor(img, ... 阅读全文

摘要：%%time fig = plt.figure(figsize=(25, 16)) for class_id in sorted(train_y.unique()): for i, (idx, row) in enumerate(df_train.loc[df_train['diagnosis'] == class_id].sample(5, random_state=SEED).ite... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's seve... 阅读全文

摘要：# libraries we'll need library(car) # for avplots library(tidyverse) # for general utility functions # read in our data bmi_data % filter(erbmi > 0) # remove rows where the reported BMI is les... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's sev... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's sev... 阅读全文

摘要：drop_list1 = ['perimeter_mean','radius_mean','compactness_mean','concave points_mean','radius_se','perimeter_se','radius_worst','perimeter_worst','compactness_worst','concave points_worst','compactne... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's se... 阅读全文

摘要：# import pandas import pandas as pd # creating a DataFrame pd.DataFrame({'Yes': [50, 31], 'No': [101, 2]}) # another example of creating a dataframe pd.DataFrame({'Bob': ['I liked it.', 'It was ... 阅读全文

摘要：import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) # Any results you write to the current directory are saved as output. import matplotlib.py... 阅读全文

摘要：import scipy from sklearn.datasets import load_digits from sklearn.metrics import classification_report from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_... 阅读全文

摘要：import scipy from sklearn.datasets import load_digits from sklearn.metrics import classification_report from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn.svm import LinearSVC from sklearn.datasets import load_digits from sklearn.model_selection import validation_curve #模型选择验证曲线validatio... 阅读全文

摘要：import numpy as np import matplotlib.pyplot as plt from sklearn.svm import LinearSVC from sklearn.datasets import load_digits from sklearn.model_selection import learning_curve #模型选择学习曲线learning_cu... 阅读全文

摘要：from sklearn.metrics import mean_absolute_error,mean_squared_error #模型选择回归问题性能度量mean_absolute_error模型 def test_mean_absolute_error(): y_true=[1,1,1,1,1,2,2,2,0,0] y_pred=[0,0,0,1,1,1,0,0,0,0... 阅读全文