Class Hierarchy

• QSTK.qstklearn.fastknn.FastKNN: A class which implements the KNN learning algorithm with sped up query times.
• QSTK.qstklearn.hmm.HMMLearner: A class for modeling and learning HMMs.
• QSTK.qstklearn.mldiagnostics.MLDiagnostics: This class can be used to produce learning curves.
• QSTK.csvconverter.csvapi.StockPriceData
• object: The most base type
  • QSTK.qstkutil.DataAccess.DataAccess: This class is used to access all the symbol data. It readin in pickled numpy arrays converts them into appropriate pandas objects and returns that object. The {main} function currently demonstrates use.
  • QSTK.qstkutil.DataAccess.DataItem
  • QSTK.qstkutil.DataAccess.DataSource
  • QSTK.qstkutil.DataAccess.Exchange
  • QSTK.qstklearn.kdtknn.kdtknn: A simple wrapper of scipy.spatial.kdtree.KDTree