I’ve been using automatminer recently and I find it very useful. When I’m in use the following function for
Automatminer custom pipeline.
class matminer.featurizers.site. AngularFourierSeries ( bins , cutoff=10.0 )
I don’t know how to define bins and their format. Could someone help me with this, thanks
My source code is as follows:
from matminer.featurizers.composition import ElementFraction
from matminer.featurizers.structure import SiteStatsFingerprint
from matminer.featurizers.site import CrystalNNFingerprint
from automatminer import get_preset_config, TPOTAdaptor, MatPipe
from xgboost import XGBRegressor, XGBClassifier
from matminer.featurizers.utils.grdf import Cosine
from automatminer import AutoFeaturizer, FeatureReducer, DataCleaner,
SinglePipelineAdaptor
autofeaturizer = AutoFeaturizer(featurizers={“structure”:[SiteStatsFingerprint(AngularFourierSeries())]})
cleaner = DataCleaner(max_na_frac=0.05)
reducer = FeatureReducer(reducers=(“corr”,))
learner = SinglePipelineAdaptor(classifier=XGBClassifier(n_estimators=500),
regressor=XGBRegressor(n_estimators=500))
Make a matpipe
pipe = MatPipe(
autofeaturizer=autofeaturizer,
cleaner=cleaner,
reducer=reducer,
learner=learner
)