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TypeScript 2021-11-07 12:55:13
Who sets up Smoke Tests in Jenkins
Our jenkins job is configured to get my automated tests from GitHub and run every day using Maven. 1- In configuration, first I created a new job and gave name "smoke tests". 2- Then I selected option git in the Source Code Management section a... Add solution -
TypeScript 2021-11-04 22:13:13
test case should be automated
We can't and shouldn't automate every test case I would choose automation over manual -If it is repetitive like data driven test cases that are supposed to be tested against multiple test data. -If the test cases are high priority test cases -If the funct... Add solution -
Other 2021-11-03 15:43:17
what is silk testing
Silk Test is a tool developed for performing the regression and functionality testing of the application. Silk Test a tool is used when we are testing the applications which are based on Window, Java, web or traditional client/server. • Silk Test ... Add solution -
Other 2021-11-02 17:42:07
tfidfvectorizer code
# TF-IDF vectorizer >>> Logistic Regression from sklearn.feature_extraction.text import TfidfVectorizer vectorizer = TfidfVectorizer() Vec = vectorizer.fit_transform(df['text_column_name_after_preprocessing']) print(vectorizer.get_feature_names... Add solution -
Other 2021-10-30 08:54:11
Can you describe your DAILY ACTIVITY?
My daily activities at work, Mostly, I go to my desk early in the morning and check result report of Smoke test to make sure that environment is up and running and the application is stable or not for the day. Check e-mails if there are any important ... Add solution -
TypeScript 2021-10-28 05:49:13
how to choose automation over manual testing
I would choose automation over manual -If the test cases are high priority test cases -If the functionality is critical functionality -If the test cases are too long and too difficult to execute. -I would automate smoke test cases and also -we should auto... Add solution -
Other 2021-10-27 20:12:06
sklearn decision tree regressor
Import the necessary modules and libraries import numpy as np from sklearn.tree import DecisionTreeRegressor import matplotlib.pyplot as plt # Create a random dataset rng = np.random.RandomState(1) X = np.sort(5 * rng.rand(80, 1), axis=0) y = np.sin(X).... Add solution -
Python 2021-10-27 18:39:11
word embeddings sklearn
from sklearn.linear_model import LogisticRegresion from zeugma.embeddings import EmbeddingTransformer glove = EmbeddingTransformer('glove') x_train = glove.transform(corpus_train) model = LogisticRegression() model.fit(x_train, y_train) x_test = glove.... Add solution
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