load_iris() reads a csv file, and then retrieves/sets some other info
like the feature names and a description of the dataset (which comes
from another file)
Then it packs everything into a Bunch object which is basically a fancy
dict:
https://github.com/scikit-learn/scikit-learn/blob/master/
>You need to understand what the different statements are doing; just
>as you need to understand what processing you apply on your data
>(whether it's preprocessing or learning) to properly use any machine
>learning tool.
I know, but the problem is that the csv file of the iris doesn't have such
data_file["data"], this works only if you have such a column as well.
load_csv can perfectly do what you need, but you have to adapt the
script to what you have in the csv (which is something only you
know!).
You need to understand what the different statements are doing; just
as you need to unders
Thanks for the replies.
>I'd recommend just reading that csv file with e.g. pandas
>(
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html),
>and then just use the dataframe as input to scikit-learn utilities (you
may need to
>separate the features X from the target y).
Guillaume, I only meant that he can do it locally :)
submitting that would be a bad idea
On Sun, Nov 8, 2020 at 2:03 PM Guillaume Lemaître
wrote:
> I would not recommend the solution of Alex. Do not modify the scikit-learn
> source code.
> Write it in your own Python module.
>
> But most probabl
I would not recommend the solution of Alex. Do not modify the scikit-learn
source code.
Write it in your own Python module.
But most probably the solution of Nicolas should be enough for 99% of the
use-cases.
Cheers,
On Sun, 8 Nov 2020 at 12:41, Alex Levin wrote:
> Hi Mahmood
> You can add you
Hi Mahmood
You can add your data set to `datasets/data` and then implement
`load_my_data` function in `datasets/_base.py`
Also register it in `datasets/__init__.py`
On Sun, Nov 8, 2020 at 1:24 PM Mahmood Naderan wrote:
> Hi,
> I have created an input file similar to iris data set. That is someth
Mahmood,
From what I understand your dataset is stored in a csv file. I'd
recommend just reading that csv file with e.g. pandas
(https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html),
and then just use the dataframe as input to scikit-learn utilities (you
may need t
Hi,
I have created an input file similar to iris data set. That is something
like this:
0.1,0.2,0.3,0.4,M1
...
I want to know how I can create my own dataset similar to the following
lines?
from sklearn.datasets import load_iris
iris = load_iris()
Regards,
Mahmood
_
