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rasbt/mlxtend: Version 0.17.0

Sebastian Raschka; James Bourbeau; Reiichiro Nakano; Zach Griffith; Kota Mori; Will McGinnis; JJLWHarrison; Guillaume Poirier-Morency; Daniel; Qiang Gu; Floris Hoogenboom; Colin; Vahid Mirjalili; selay01; Christos Aridas; Steve Harenberg; Pablo Fernandez; Oliver Tomic; Laurens Geffert; Janpreet Singh; Alejandro Correa Bahnsen; Benjamin Lee; Batuhan Bardak; Arfon Smith; Anton Loss; Anebi; Ajinkya Kale; Adam Erickson; Adam Cooper; Ackerley Tng

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Sebastian Raschka</dc:creator>
  <dc:creator>James Bourbeau</dc:creator>
  <dc:creator>Reiichiro Nakano</dc:creator>
  <dc:creator>Zach Griffith</dc:creator>
  <dc:creator>Kota Mori</dc:creator>
  <dc:creator>Will McGinnis</dc:creator>
  <dc:creator>Guillaume Poirier-Morency</dc:creator>
  <dc:creator>Qiang Gu</dc:creator>
  <dc:creator>Floris Hoogenboom</dc:creator>
  <dc:creator>Vahid Mirjalili</dc:creator>
  <dc:creator>Christos Aridas</dc:creator>
  <dc:creator>Steve Harenberg</dc:creator>
  <dc:creator>Pablo Fernandez</dc:creator>
  <dc:creator>Oliver Tomic</dc:creator>
  <dc:creator>Laurens Geffert</dc:creator>
  <dc:creator>Janpreet Singh</dc:creator>
  <dc:creator>Alejandro Correa Bahnsen</dc:creator>
  <dc:creator>Benjamin Lee</dc:creator>
  <dc:creator>Batuhan Bardak</dc:creator>
  <dc:creator>Arfon Smith</dc:creator>
  <dc:creator>Anton Loss</dc:creator>
  <dc:creator>Ajinkya Kale</dc:creator>
  <dc:creator>Adam Erickson</dc:creator>
  <dc:creator>Adam Cooper</dc:creator>
  <dc:creator>Ackerley Tng</dc:creator>
  <dc:description>New Features

Added an enhancement to the existing iris_data() such that both the UCI Repository version of the Iris dataset as well as the corrected, original
version of the dataset can be loaded, which has a slight difference in two data points (consistent with Fisher's paper; this is also the same as in R). (via #539 via janismdhanbad)
Added optional groups parameter to SequentialFeatureSelector and ExhaustiveFeatureSelector fit() methods for forwarding to sklearn CV (#537 via arc12)
Added a new plot_pca_correlation_graph function to the mlxtend.plotting submodule for plotting a PCA correlation graph. (#544 via Gabriel-Azevedo-Ferreira)
Added a zoom_factor parameter to the mlxten.plotting.plot_decision_region function that allows users to zoom in and out of the decision region plots. (#545)
Added a function fpgrowth that implements the FP-Growth algorithm for mining frequent itemsets as a drop-in replacement for the existing apriori algorithm. (#550 via Steve Harenberg)
New heatmap function in mlxtend.plotting.  (#552)
Added a function fpmax that implements the FP-Max algorithm for mining maximal itemsets as a drop-in replacement for the fpgrowth algorithm. (#553 via Steve Harenberg)
New figsize parameter for the plot_decision_regions function in mlxtend.plotting. (#555 via Mirza Hasanbasic)
New low_memory option for the apriori frequent itemset generating function. Setting low_memory=False (default) uses a substantially optimized version of the algorithm that is 3-6x faster than the original implementation (low_memory=True). (#567 via jmayse)


Now uses the latest joblib library under the hood for multiprocessing instead of sklearn.externals.joblib. (#547)
Changes to StackingCVClassifier and StackingCVRegressor such that first-level models are allowed to generate output of non-numeric type. (#562)

Bug Fixes

Fixed documentation of iris_data() under by adding a note about differences in the iris data in R and UCI machine learning repo.
Make sure that if the 'svd' mode is used in PCA, the number of eigenvalues is the same as when using 'eigen' (append 0's zeros in that case) (#565)
  <dc:title>rasbt/mlxtend: Version 0.17.0</dc:title>
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