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To make onehot available I had to refactor how the data is stored, the
current implementation supports json files.
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Functions Parameters were replaced by Configs struct to allow
scalability, in the future I might merge parse.c source code into util.c
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The CLI option to disable it was also added.
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Things done:
* config path should search config file in the following order: cli
option, environment, xdg_path
* Implement a retrain command.
* when you require more keys than the ones available in the input,
stop the program.
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Things implemented:
* json_read() must die if the key does not exist or the value type is wrong.
* on predict command input should be shown exactly the same
* float precision CLI option should be added.
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things implemented:
- CLI option --only-out added
- CLI option --format works more intuitively
- csv tsv and json output support
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things implemented:
- read output in false bug was solved.
- Make generic rule added to build test executables
- format option added to the CLI
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Documentation:
Example sections was improved
Files sections was added
Fixes:
default config filepath was fixed
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Now is possible to read data from standard input
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train subcommand can read and train the network
TODO:
- Refactor json_read() to parse multiple labels
- Implement a function to save network weights once the network have
trained
- Implement a function to load trained weights to use with predict
subcommand
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parameters implemented:
- input_keys
- label_keys
- epochs
- labels
- weights_path
Network weights and architecture loading is not implemented yet.
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The program config parameters where encapsulated in a struct to keep
track of them without implementing a lot of functions
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