Hi Alex and Qi,
It did work by setting
md_feat = Midema()
I missed that parentheses.
I have a follow up question in the example link. It said the following:
Let’s try the
ElectronegativityDiff featurizer which requires knowing the oxidation state of the various elements in the Composition. This information is not there currently, but one can use the
conversions package to try to guess oxidation states and then apply the
ElectronegativityDiff featurizer to this column."
However it never really calculated the
`el_feat = ```ElectronegativityDiff()``
df = el_feat.featurize_dataframe(df,"composition_ox")
It came out with long list of errors. Mostly likely I am not using the right arguments.
Any help will be appreciated.
On Thursday, April 4, 2019 at 6:28:20 PM UTC-4, [email protected] wrote:
I have just started looking at the Matminer. I am interested in calculating the Miedema features which is
matminer.featurizers.composition.``Miedema(struct_types=‘inter’, ss_types=‘min’, data_source=‘Miedema’)
I am trying to incorporate the Miedema into the following tutorial:
Used something like this after importing Miedema
md_feat = Midema
df = md_feat.featurize_dataframe(df,“composition”)
It does not work. According to the documentation, it reads a file “Miedema.csv”. Do I have to provide that file or it comes with the code.
Any help will be very much appreciated.