query: Follow Up Question - Why use fit when already have fit_transform?
positive_passages.docid: 14442
positive_passages.text: What's the difference between fit and fit_transform in scikit-learn models?
negative_passages.docid: 71082
negative_passages.text: How to find a good fit for semi-sinusoidal model in R?
negative_passages.docid: 146008
negative_passages.text: Why do we usually choose to minimize the sum of square errors (SSE) when fitting a model?
negative_passages.docid: 23103
negative_passages.text: How to use "fit" to frame the nodes and labels
negative_passages.docid: 85330
negative_passages.text: Why do we use residuals to test the assumptions on errors in regression?
negative_passages.docid: 70695
negative_passages.text: When approximating a posterior using MCMC, why don't we save the posterior probabilities but use the parameter value frequencies afterwards?
negative_passages.docid: 157971
negative_passages.text: How to perform a multi-peak fitting?
negative_passages.docid: 28514
negative_passages.text: Does FindFit support complex numbers or doesn't it?
negative_passages.docid: 148888
negative_passages.text: How does the inverse transform method work?
negative_passages.docid: 126340
negative_passages.text: Test Goodness of fit for FindFit
negative_passages.docid: 112286
negative_passages.text: Why does R use partial matching?
negative_passages.docid: 88957
negative_passages.text: Why do we use Gaussian distributions in Variational Autoencoder?
negative_passages.docid: 121906
negative_passages.text: Fit of the l equation
negative_passages.docid: 58249
negative_passages.text: Why do we use a Least Squares fit?
negative_passages.docid: 77204
negative_passages.text: Least squares invariant under transformation?
negative_passages.docid: 79959
negative_passages.text: Choosing between transformations in logistic regression
negative_passages.docid: 114717
negative_passages.text: What does goodness of fit mean in context of linear regression