Python-weka-wrapper3

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- added method `help_for` to `weka.core.classes` module to generate a help screen for an `weka.core.OptionHandler`
class using just the classname.
- the `to_help` method of the `weka.core.classes.OptionHandler` class now allows to tweak the generated output a
bit better (e.g., what sections to output).
- setting window title of Matplotlib is now dependent on version (to avoid deprecation notice being output)
- `plot_classifier_errors` (module `weka.plot.classifiers`) now plots the diagonal after adding all the plot data to
get the right limits

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- added `weka.core.distances` module for distance functions, with `DistanceFunction` base class
- added `avg_silhouette_coefficient` method to `weka.clusterers` to calculate the average silhouette coefficient

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- the `Package` class of the `weka.core.packages` module now has a `version` property to quickly access the version
which is stored in the meta-data; the `metadata` property now returns a proper Python dictionary
- added convenience methods to the `weka.core.packages` module: `install_packages` to install more than one package,
`install_missing_package` and `install_missing_packages` to install one or more packages if missing
(can automatically stop the JVM and exit the process), `uninstall_packages` to remove more than one package in
one operation

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- the `ASEvaluation` class in the `weka.attribute_selection` module now offers the following methods
for attribute transformers like PCA: `transformed_header`, `transformed_data`, `convert_instance`
- classes derived from `weka.core.classes.JavaObject` are now serializable via pickle
- added the method `copy_structure` to the `weka.core.dataset.Instances` class to quickly
get the header of a dataset
- added the property `header` to the following classes that returns the training data structure:
`ASEvaluation`, `ASSearch`, `Associator`, `Classifier`, `Clusterer`, `TSForecaster`
- methods from `weka.core.serialization` have been moved into `weka.core.classes`, with the
following methods getting the `serialization_` prefix: `write`, `write_all`, `read`, `read_all`

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- `classes.new_instance` method can take an options list now as well
- added `classes.get_enum` method to return the instance of a Java enum item
- added `classes.new_instance` method to create new instance of Java class
- added `typeconv.jstring_list_to_string_list` method to convert a `java.util.List` containing strings into a Python list
- added `typeconv.jdouble_to_float` method to convert a `java.lang.Double` to a Python float
- in module `typeconv` renamed methods: `string_array_to_list` to `jstring_array_to_list`,
`string_list_to_array` to `string_list_to_jarray`, `double_matrix_to_ndarray` to `jdouble_matrix_to_ndarray`,
`enumeration_to_list` to `jenumeration_to_list`, `double_to_float` to `float_to_jfloat`
- added `weka.timeseries` module that wraps the `timeseriesForecasting` Weka package

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- upgraded Weka to 3.9.5