c7eedbd86349ee56a1d816a4e54dc031382da305,hpsklearn/components.py,,linear_discriminant_analysis,#,796
Before Change
solver=hp.choice(
_name("solver"),
["svd", "lsqr", "eigen"]) if solver is None else solver,
shrinkage=hp.choice(
_name("shrinkage"),
["auto", None]) if shrinkage is None else solver,
priors=priors,
n_components=4 * scope.int(
hp.qloguniform(
After Change
[("svd", None),
("lsqr", None),
("lsqr", "auto"),
("eigen", None),
("eigen", "auto")])
rval = scope.sklearn_LinearDiscriminantAnalysis(
solver=solver_shrinkage_dual[0] if solver is None else solver,
shrinkage=solver_shrinkage_dual[1] if shrinkage is None else shrinkage,
priors=priors,
n_components=4 * scope.int(
hp.qloguniform(
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: hyperopt/hyperopt-sklearn
Commit Name: c7eedbd86349ee56a1d816a4e54dc031382da305
Time: 2016-07-22
Author: chandlerx.watson@intel.com
File Name: hpsklearn/components.py
Class Name:
Method Name: linear_discriminant_analysis
Project Name: BindsNET/bindsnet
Commit Name: a802d31210ed262b8159b656b256bdacf10c9d61
Time: 2020-05-11
Author: hananel@hazan.org.il
File Name: bindsnet/pipeline/action.py
Class Name:
Method Name: select_random
Project Name: BindsNET/bindsnet
Commit Name: a802d31210ed262b8159b656b256bdacf10c9d61
Time: 2020-05-11
Author: hananel@hazan.org.il
File Name: bindsnet/pipeline/action.py
Class Name:
Method Name: select_multinomial