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Multiple linear regression in Python
I can't seem to find any python libraries that do multiple regression. The only things I find only do simple regression. I need to regress my dependent variable (y) against several independent variables (x1, x2, x3, etc.).
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How to merge YAML arrays?
..." > ~/.ssh/known_hosts
- chmod 644 ~/.ssh/known_hosts
test:
image: python:3.7.3
stage: test
script:
- *pip_git
- pip install -q -r requirements_test.txt
- python -m unittest discover tests
use the same `*pip_git` on e.g. build image...
where requirements_te...
TypeError: ObjectId('') is not JSON serializable
... back from MongoDB after querying an aggregated function on document using Python, It returns valid response and i can print it but can not return it.
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Which sort algorithm works best on mostly sorted data? [closed]
...ordered arrays (less than lg(N!) comparisons needed, and
as few as N-1)". Python's built-in sort() has used this algorithm for some time, apparently with good results. It's specifically designed to detect and take advantage of partially sorted subsequences in the input, which often occur in real d...
python dataframe pandas drop column using int
I understand that to drop a column you use df.drop('column name', axis=1). Is there a way to drop a column using a numerical index instead of the column name?
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Python argparse: default value or specified value
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How to inject dependencies into a self-instantiated object in Spring?
...should have <context:spring-configured/> in your application context xml.
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Get object by id()? [duplicate]
Let's say I have an id of a Python object, which I retrieved by doing id(thing) . How do I find thing again by the id number I was given?
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Trying to mock datetime.date.today(), but not working
...attributes of built-in/extension type 'datetime.date'
This fails because Python built-in types are immutable - see this answer for more details.
In this case, I would subclass datetime.date myself and create the right function:
import datetime
class NewDate(datetime.date):
@classmethod
d...
Extract first item of each sublist
...[1,2,3],[11,12,13],[21,22,23]]
>>> zip(*lst)[0]
(1, 11, 21)
Or, Python 3 where zip does not produce a list:
>>> list(zip(*lst))[0]
(1, 11, 21)
Or,
>>> next(zip(*lst))
(1, 11, 21)
Or, (my favorite) use numpy:
>>> import numpy as np
>>> a=np.array...