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  1. Dictionary
    train
    /treɪn/

    verb

    • 1. teach (a person or animal) a particular skill or type of behaviour through practice and instruction over a period of time: "the scheme trains people for promotion" Similar instructteachcoachtutor
    • 2. point or aim something, typically a gun or camera, at: "the detective trained his gun on the side door" Similar aimpointdirectlevel

    noun

    More definitions, origin and scrabble points

  2. Jun 3, 2018 · X_train is all the instance with attributes, y_train is the label of each instance. Because your problem is binary classification problem and using logistic regression. your y_train is either 0 or 1(spam or not). –

  3. Mar 11, 2020 · 1). X_train - This includes your all independent variables,these will be used to train the model, also as we have specified the test_size = 0.4, this means 60% of observations from your complete data will be used to train/fit the model and rest 40% will be used to test the model. 2).

  4. Jul 20, 2018 · More details: model.train() sets the mode to train (see source code). You can call either model.eval() or model.train(mode=False) to tell that you are testing. It is somewhat intuitive to expect train function to train model but it does not do that. It just sets the mode.

  5. Jun 10, 2014 · train_df = augmented_df[dependent_and_independent_columns] test_df = train_df.sort_values('dates').tail(int(len(augmented_df)*0.1)) # select latest 10% of dates for test data train_df = train_df.drop(test_df.index) # drop rows assigned to test_df validate_df = train_df.sample(frac=0.1) # randomly assign 10% train_df = train_df.drop(validate_df ...

  6. Nov 16, 2017 · i guess you may found this useful to understand.. import pandas as pd from sklearn.cross_validation import train_test_split from sklearn.linear_model import LinearRegression #importing dataset dataset = pd.read_csv('Salary_Data.csv') x = dataset.iloc[:, :-1].values y = dataset.iloc[:, 1].values #spliting the dataset into training and test set x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=1/3, random_state=0)

  7. In simple words define Training set, Test set, Validation set. Training set: Is used for finding Nearest neighbors. Validation set: Is for finding different k which is applying to train set. Test set: Is used for finding the maximum accuracy and unseen data in future.

  8. Jul 11, 2018 · You didn't define X_train or y_train in your code – Mufeed. Commented Jul 10, 2018 at 6:39. 1.

  9. Apr 30, 2020 · I am trying to implement text summarization model for Amazon reviews by using LSTM and seq2seq modelling. But, it is showing that train_data is not defined. !pip install pyrouge import numpy as np

  10. I have a single directory which contains sub-folders (according to labels) of images. I want to split this data into train and test set while using ImageDataGenerator in Keras. Although model.fit()...

  11. Nov 20, 2021 · train_df = pd.read_csv(r'fashion_mnist_train.csv') test_df = pd.read_csv(r'fashion_mnist_test.csv') Also, make the same changes on these file names in your local directory from you are importing these files.