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what is the difference between 'transform' and 'fit_transform' in sklearn

In the sklearn-python toolbox, there are two functions transform and fit_transform about sklearn.decomposition.RandomizedPCA . The description of two functions are as follows ...
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A clean, lightweight alternative to Python's twisted? [closed]

...e. That was in my Python youth, in the days before I knew about the GIL and the associated woes it creates for multithreaded code (IE, most of the time stuff just ends up serialized!)... ...
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Set transparent background using ImageMagick and commandline prompt

Suppose you have any image (PNG or JPG). This image has a white background and I need to make this background transparent. ...
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Angular JS: What is the need of the directive’s link function when we already had directive’s contro

I need to perform some operations on scope and the template. It seems that I can do that in either the link function or the controller function (since both have access to the scope). ...
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Eclipse, regular expression search and replace

... as part of the replace string when performing a regular expression search and replace? 5 Answers ...
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What is the difference between JOIN and UNION?

What is the difference between JOIN and UNION ? Can I have an example? 15 Answers 1...
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How to do exponential and logarithmic curve fitting in Python? I found only polynomial fitting

I have a set of data and I want to compare which line describes it best (polynomials of different orders, exponential or logarithmic). ...
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Convert a timedelta to days, hours and minutes

I've got a timedelta. I want the days, hours and minutes from that - either as a tuple or a dictionary... I'm not fussed. 7...
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Pointer arithmetic for void pointer in C

... Final conclusion: arithmetic on a void* is illegal in both C and C++. GCC allows it as an extension, see Arithmetic on void- and Function-Pointers (note that this section is part of the "C Extensions" chapter of the manual). Clang and ICC likely allow void* arithmetic for the purpose...
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Combine Date and Time columns using python pandas

I have a pandas dataframe with the following columns; 11 Answers 11 ...