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 to separate the features X from the target y). Then, if you
need, you can wrap all that into a "load_my_dataset()" function.
HTH,
Nicolas
On 11/8/20 11:21 AM, Mahmood Naderan wrote:
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
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