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Add docs for rescore_fen
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## `nudged_static`
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`transform nudged_static` takes named parameters in the form of `gensfen param_1_name param_1_value param_2_name param_2_value ...` and flag parameters which don't require values.
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`transform nudged_static` takes named parameters in the form of `transform nudged_static param_1_name param_1_value param_2_name param_2_value ...` and flag parameters which don't require values.
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This command goes through positions in the input files and replaces the scores with new ones - generated from static eval - but slightly adjusted based on the scores in the original input file.
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`relative` - states that the adjustment should be bounded by a value relative in magnitude to the static eval value. After this token follows the maximum relative change - a floating point value greater than 0. For example a value of 0.1 only allows changing the static eval by at most 10% towards the score from the input file.
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`interpolate` states that the output score should be a value interpolated between static eval and the score from the input file. After this token follows the interpolation constant `t`. `t` of 0 means that only static eval is used. `t` of 1 means that only score from the input file is used. `t` of 0.5 means that the static eval and input score are averaged. It accepts values outside of range `<0, 1>`, but the usefulness is questionable.
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## `rescore_fen`
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`transform rescore_fen` takes named parameters in the form of `transform rescore_fen param_1_name param_1_value param_2_name param_2_value ...` and flag parameters which don't require values.
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This command takes a path to the input file which contains one FEN per line and outputs a .bin or .binpack file with these positions rescored with specified depth search.
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Currently the following options are available:
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`input_file` - path to the input .epd file. Default: in.binpack.
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`output_file` - path to the output .bin or .binpack file. The file is opened in append mode. Default: out.binpack.
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`depth` - the search depth to use for rescoring. Default: 3.
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