Python-weka-wrapper3

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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

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- added `weka.core.systeminfo` module for obtaining output from `weka.core.SystemInfo`
- added `system_info` parameter to `weka.core.jvm.start()` method
- merged PR 33 (https://github.com/fracpete/python-weka-wrapper3/pull/33) to better handle
associator output

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- added `AttributeSelectedClassifier` meta-classifier to module `weka.classifiers`
- added `AttributeSelection` meta-filter to module `weka.filters`

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- added `class_index` parameter to `weka.core.converters.load_any_file`
and `weka.core.converters.Loader.load_file`, which allows specifying of
index while loading it (`first`, `second`, `third`, `last-2`, `last-1`,
`last` or 1-based index).
- added `append` and `clear` methods to `weka.filters.MultiFilter` and
`weka.classifiers.MultipleClassifiersCombiner` to make adding of
filters/classifiers easier.
- added `attribute_names()` method to `weka.core.dataset.Instances` class
- added `subset` method to `weka.core.dataset.Instances` class, which returns
a subset of columns and/or rows.