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Log-reward uniformisation, logging and new hyperparams for temperature, Z-training, validation. #54
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…de original fragment stems
…spond to self.temperature_dist_params=<fixed_value>
…ode_conditional_information()
* objectives: the list of objectives to optimise among {'seh', 'qed', 'sa', 'mw'} * num_thermometer_dim: the length of the thermometer vector for encoding temperature
…vmax=0 when beta=0
…passing full thermometer instead of empty one)
…on_prob to be a argument of graph_sampler.sample_from_model()
* n_valid_prefs * n_valid_repeats_per_pref
….setup() to be caught by Determined agents as well
…ling task.cond_info_to_reward() for tasks that wouldn't have been updated to using logrewards rather than rewards)
…sks: * SEHMOOTask now inherits from SEHTask * Now SEHMOOTask only concatenates the preferences to what was already in cond_info (done by parent classes)
…tuple(float, float) or a float, parsing a string (say if provided by Determined) should be handled by an external wrapper.
bengioe
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bengioe
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bengioe
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bengioe
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bengioe
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Mar 21, 2023
I am done with the validation run, results look good (see on this link). |
Closing. |
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Several changes (most of them minor):