January 31, 2019 Software Open Access

Pradeep Reddy Raamana; Kevin Le

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.2554478</identifier>
  <creators>
    <creator>
      <creatorName>Pradeep Reddy Raamana</creatorName>
      <affiliation>University of Toronto</affiliation>
    </creator>
    <creator>
      <creatorName>Kevin Le</creatorName>
      <affiliation>@superphy</affiliation>
    </creator>
  </creators>
  <titles>
    <title>raamana/neuropredict: Support for Missing data</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <dates>
    <date dateType="Issued">2019-01-31</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/2554478</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/raamana/neuropredict/tree/0.5</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.997355</relatedIdentifier>
  </relatedIdentifiers>
  <version>0.5</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;ul&gt;
&lt;li&gt;Good news: &lt;code&gt;neuropredict&lt;/code&gt; can handle missing data now (that are encoded with &lt;code&gt;numpy.NaN&lt;/code&gt;). This is done respecting the cross-validation splits without any data leakage.&lt;/li&gt;
&lt;li&gt;Few other useful utilities&lt;/li&gt;
&lt;/ul&gt;</description>
  </descriptions>
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