Vak

Added
- recipe for `conda` build
- made build available on an Anaconda cloud channel

Changed
- rewrote Installation page of docs
+ basically saying `conda` is required for install currently

Added
- `vak.core.learncurve.test_one_model` function that makes it easier to
measure frame and syllable error, etc., on a single trained model
- add `move_spects` method to `Dataset` so an instance of a `Dataset` is not locked to a
particular location

Changed
- single-source version
+ using the "Warehouse" approach from the PyPA page (thanks Donald Stufft)
<https://packaging.python.org/guides/single-sourcing-package-version/#single-sourcing-the-version>
- rename `VocalizationDataset`, it's now just `Dataset` and is imported
at top-level of package; both changes make code concise and reduce typing
(and the `Vocalization` is implied anyway).

Fixed
- syllable error rate calculated correctly for test data set by `vak.core.learning_curve.test`
- pin `crowsetta` version to 1.1.1 in setup.py
+ so that `pip` doesn't install version 2.0, which causes an error
- `predict` command in command-line interface now works

Added
- add helper function to TestLearncurve that multiple unit tests can use to assert all outputs
were generated. Now being used to make sure bug fixed in 0.1.0a8 stays fixed.
- error checking in cli that raises ValueError when cli command is `learncurve` and the option
'results_dir_made_by_main_script' is already defined in [OUTPUT] section, since running
'learncurve' would overwrite it.
- `dataset` subpackage that houses `Dataset` and related classes that facilitate creating data sets for training neural networks from heterogeneous data: audio files, files of arrays containing spectrograms, different annotation types, etc.
- also includes modules for handling each data source
+ e.g. `audio.to_spect` creates spectrograms from audio files
+ `spect.from_files` creates a `Dataset` from spectrogram files
- `core` sub-package that contains / will contain functions that do heavy lifting: `learning_curve`, `train`, `predict`
+ `learning_curve` is a sub-sub-module that does both `train` and `test` of models, instead of having a separate `learncurve` and `summary` function (i.e. train and test). Still will confuse some ML/AI people that this "learning curve" has a test data step but whatevs
+ `cli` sub-package calls / will call these functions and handle any command-line-interface specific logic
(e.g. making changes to `config.ini` files)

Changed
- change name of `vak.cli.make_data` to `vak.cli.prep`
- structure of `config.ini` file
+ now specify either `audio_format` or `spect_format` in `[DATA]` section
+ and `annot_format` for annotations
- refactor `utils` sub-package
+ move several functions from `data` and `general` into a `labels` module

Removed
- remove unused options from command-line interface: `--glob`, `--txt`, `--dataset`
- `skip_files_with_labels_not_in_labelset` option
+ now happens whenever `labelset` is specified; if no `labelset` is given then no filtering is done
- `summary` command-line option, since `learncurve` now runs trains models and also tests them on separate data set
- `silent_label_gap` option, because `Dataset` class determines if a label for unlabeled segments between other segments is needed, and if so automatically assigns this a label of 0 when mapping user labels to consecutive integers
+ this way user does not have to think about it
+ and program doesn't have to keep track of a `labels_mapping` file that saves what user specified

Fixed
- Fix how main loop in `learncurve` re-loads indices for grabbing subsets of training data after
generating them, and do so in a way that still allows for re-using subsets from previous runs

Added
- `vak.cli.summary` has `save_transformed_data` parameter and `vak.cli` passed value from
`config.data.save_transformed_data` as the argument when calling `vak.cli.summary`

Changed
- `vak.cli.summary` only saves transformed train/test data if `save_transformed_data` is `True`
- move a test from tests/unit_tests/test_utils.py into tests/unit_tests/test_utils/test_data.py

Removed
- `vak.cli.summary` no longer saves copy of test data in results directory

Added
- add test for utils.data.get_inds_for_dur

Changed
- learncurve gets indices for all train data subsets before starting training