Trjtdtk

Are my PIs rude or am I just being too sensitive?

Python - Fishing Simulator

How does this infinite series simplify to an integral?

Is every episode of "Where are my Pants?" identical?

The following signatures were invalid: EXPKEYSIG 1397BC53640DB551

How to prevent selfdestruct from another contract

Can withdrawing asylum be illegal?

Finding the path in a graph from A to B then back to A with a minimum of shared edges

how can a perfect fourth interval be considered either consonant or dissonant?

A pet rabbit called Belle

Arduino Pro Micro - switch off LEDs

Hopping to infinity along a string of digits

Is it ethical to upload a automatically generated paper to a non peer-reviewed site as part of a larger research?

Is this wall load bearing? Blueprints and photos attached

First use of “packing” as in carrying a gun

What information about me do stores get via my credit card?

Who or what is the being for whom Being is a question for Heidegger?

How does ice melt when immersed in water

What's the point in a preamp?

Is above average number of years spent on PhD considered a red flag in future academia or industry positions?

Is it ok to offer lower paid work as a trial period before negotiating for a full-time job?

Why is superheterodyning better than direct conversion?

Semisimplicity of the category of coherent sheaves?

Relations between two reciprocal partial derivatives?

The minimum number of groups for any class cannot be less than 2 error

1

$begingroup$

cv_split = StratifiedShuffleSplit(n_splits=10, test_size=0.3, random_state=0)

# Performing cross-validation to estimate the performance of the models
for idx, est in enumerate(estimator):

 cv_results = cross_validate(est[1](), x_value, y_value, cv=cv_split)

I got following error from this code

ValueError: The least populated class in y has only 1 member, which is
too few. The minimum number of groups for any class cannot be less
than 2.

and my y_value looks like
y_value = array([221900, 180000, 510000, ..., 360000, 400000, 325000])

I used this method before and y_value has the same shape as before.

python data-mining cross-validation

share|improve this question

edited Apr 7 at 14:23

Tasos

1,59011138

asked Mar 31 at 2:03

monkmonk

164

$endgroup$

add a comment | 

1

$begingroup$

cv_split = StratifiedShuffleSplit(n_splits=10, test_size=0.3, random_state=0)

# Performing cross-validation to estimate the performance of the models
for idx, est in enumerate(estimator):

 cv_results = cross_validate(est[1](), x_value, y_value, cv=cv_split)

I got following error from this code

ValueError: The least populated class in y has only 1 member, which is
too few. The minimum number of groups for any class cannot be less
than 2.

and my y_value looks like
y_value = array([221900, 180000, 510000, ..., 360000, 400000, 325000])

I used this method before and y_value has the same shape as before.

python data-mining cross-validation

share|improve this question

edited Apr 7 at 14:23

Tasos

1,59011138

asked Mar 31 at 2:03

monkmonk

164

$endgroup$

add a comment | 

$begingroup$

cv_split = StratifiedShuffleSplit(n_splits=10, test_size=0.3, random_state=0)

# Performing cross-validation to estimate the performance of the models
for idx, est in enumerate(estimator):

 cv_results = cross_validate(est[1](), x_value, y_value, cv=cv_split)

I got following error from this code

ValueError: The least populated class in y has only 1 member, which is
too few. The minimum number of groups for any class cannot be less
than 2.

and my y_value looks like
y_value = array([221900, 180000, 510000, ..., 360000, 400000, 325000])

I used this method before and y_value has the same shape as before.

python data-mining cross-validation

share|improve this question

edited Apr 7 at 14:23

Tasos

1,59011138

asked Mar 31 at 2:03

monkmonk

164

$endgroup$

cv_split = StratifiedShuffleSplit(n_splits=10, test_size=0.3, random_state=0)

# Performing cross-validation to estimate the performance of the models
for idx, est in enumerate(estimator):

 cv_results = cross_validate(est[1](), x_value, y_value, cv=cv_split)

share|improve this question

edited Apr 7 at 14:23

Tasos

1,59011138

asked Mar 31 at 2:03

monkmonk

164

share|improve this question

edited Apr 7 at 14:23

Tasos

1,59011138

asked Mar 31 at 2:03

monkmonk

164

edited Apr 7 at 14:23

Tasos

1,59011138

edited Apr 7 at 14:23

Tasos

1,59011138

asked Mar 31 at 2:03

monkmonk

164

asked Mar 31 at 2:03

monkmonk

164