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Merge pull request #15 from AutoResearch/14-state-dependent-propertie…
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…s-of-workflow-need-to-be-renamed-form-observationsdvsivs-to-observationsconditionsobservations

refactor: rename from observations.dvs/ivs to data.conditions/observations
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@hollandjg
hollandjg authored Jul 6, 2023
2 parents dcf2d3e + 0328e4a commit 6816a4f
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45 changes: 18 additions & 27 deletions docs/interactive/Accessing State Dependent Properties.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -15,11 +15,11 @@
"dictionary. These are the following strings, which will be replaced during execution by\n",
"their respective current values:\n",
"\n",
"- `\"%observations.ivs[-1]%\"`: the last observed independent variables\n",
"- `\"%observations.dvs[-1]%\"`: the last observed dependent variables\n",
"- `\"%observations.ivs%\"`: all the observed independent variables,\n",
"- `\"%experiment_data.conditions[-1]%\"`: the last observed independent variables\n",
"- `\"%experiment_data.observations[-1]%\"`: the last observed dependent variables\n",
"- `\"%experiment_data.conditions%\"`: all the observed independent variables,\n",
"concatenated into a single array\n",
"- `\"%observations.dvs%\"`: all the observed dependent variables,\n",
"- `\"%experiment_data.observations%\"`: all the observed dependent variables,\n",
"concatenated into a single array\n",
"- `\"%models[-1]%\"`: the last fitted theorist\n",
"- `\"%models%\"`: all the fitted theorists\n",
Expand Down Expand Up @@ -101,7 +101,7 @@
" experiment_runner=example_synthetic_experiment_runner,\n",
" params={\n",
" \"experimentalist\": {\n",
" \"exclude_conditions\": {\"excluded_conditions\": \"%observations.ivs%\"},\n",
" \"exclude_conditions\": {\"excluded_conditions\": \"%experiment_data.conditions%\"},\n",
" \"custom_random_sampler\": {\"n\": 1}\n",
" }\n",
" }\n",
Expand Down Expand Up @@ -245,32 +245,23 @@
"evalue": "a cannot be empty unless no samples are taken",
"output_type": "error",
"traceback": [
"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
"\u001B[0;31mValueError\u001B[0m Traceback (most recent call last)",
"Cell \u001B[0;32mIn[5], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m \u001B[43mcycle_with_state_dep_properties\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mrun\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m \u001B[38;5;66;03m# doctest: +ELLIPSIS\u001B[39;00m\n",
"File \u001B[0;32m~/Developer/autora-workflow/src/autora/workflow/cycle.py:82\u001B[0m, in \u001B[0;36mCycle.run\u001B[0;34m(self, num_cycles)\u001B[0m\n\u001B[1;32m 80\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mrun\u001B[39m(\u001B[38;5;28mself\u001B[39m, num_cycles: \u001B[38;5;28mint\u001B[39m \u001B[38;5;241m=\u001B[39m \u001B[38;5;241m1\u001B[39m):\n\u001B[1;32m 81\u001B[0m \u001B[38;5;250m \u001B[39m\u001B[38;5;124;03m\"\"\"Execute the next step in the cycle.\"\"\"\u001B[39;00m\n\u001B[0;32m---> 82\u001B[0m \u001B[38;5;28;43msuper\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mrun\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnum_steps\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnum_cycles\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 83\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\n",
"File \u001B[0;32m~/Developer/autora-workflow/src/autora/workflow/base.py:85\u001B[0m, in \u001B[0;36mBaseController.run\u001B[0;34m(self, num_steps)\u001B[0m\n\u001B[1;32m 83\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"Run the next num_steps planned steps in the workflow.\"\"\"\u001B[39;00m\n\u001B[1;32m 84\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m i \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(num_steps):\n\u001B[0;32m---> 85\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mrun_once\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 86\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\n",
"File \u001B[0;32m~/Developer/autora-workflow/src/autora/workflow/base.py:71\u001B[0m, in \u001B[0;36mBaseController.run_once\u001B[0;34m(self, step_name)\u001B[0m\n\u001B[1;32m 68\u001B[0m _logger\u001B[38;5;241m.\u001B[39mdebug(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mnext_params\u001B[38;5;132;01m=}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 70\u001B[0m \u001B[38;5;66;03m# Execute\u001B[39;00m\n\u001B[0;32m---> 71\u001B[0m result \u001B[38;5;241m=\u001B[39m \u001B[43mnext_function\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mstate\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mparams\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mnext_params\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 72\u001B[0m _logger\u001B[38;5;241m.\u001B[39mdebug(\u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mresult\u001B[38;5;132;01m=}\u001B[39;00m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 74\u001B[0m \u001B[38;5;66;03m# Update\u001B[39;00m\n",
"File \u001B[0;32m~/Developer/autora-workflow/src/autora/workflow/executor.py:174\u001B[0m, in \u001B[0;36mfull_cycle_wrapper.<locals>._executor_full_cycle\u001B[0;34m(state, params)\u001B[0m\n\u001B[1;32m 169\u001B[0m experimentalist_params \u001B[38;5;241m=\u001B[39m params\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mexperimentalist\u001B[39m\u001B[38;5;124m\"\u001B[39m, {})\n\u001B[1;32m 171\u001B[0m experimentalist_executor \u001B[38;5;241m=\u001B[39m from_experimentalist_pipeline(\n\u001B[1;32m 172\u001B[0m experimentalist_pipeline\n\u001B[1;32m 173\u001B[0m )\n\u001B[0;32m--> 174\u001B[0m experimentalist_result \u001B[38;5;241m=\u001B[39m \u001B[43mexperimentalist_executor\u001B[49m\u001B[43m(\u001B[49m\u001B[43mstate\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mexperimentalist_params\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 176\u001B[0m experiment_runner_params \u001B[38;5;241m=\u001B[39m params\u001B[38;5;241m.\u001B[39mget(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mexperiment_runner\u001B[39m\u001B[38;5;124m\"\u001B[39m, {})\n\u001B[1;32m 177\u001B[0m experiment_runner_executor \u001B[38;5;241m=\u001B[39m from_experiment_runner_callable(\n\u001B[1;32m 178\u001B[0m experiment_runner_callable\n\u001B[1;32m 179\u001B[0m )\n",
"File \u001B[0;32m~/Developer/autora-workflow/src/autora/workflow/executor.py:64\u001B[0m, in \u001B[0;36mfrom_experimentalist_pipeline.<locals>._executor_experimentalist\u001B[0;34m(state, params)\u001B[0m\n\u001B[1;32m 62\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_executor_experimentalist\u001B[39m(state: SupportsControllerState, params: Dict):\n\u001B[1;32m 63\u001B[0m params_ \u001B[38;5;241m=\u001B[39m resolve_state_params(params, state)\n\u001B[0;32m---> 64\u001B[0m new_conditions \u001B[38;5;241m=\u001B[39m \u001B[43mpipeline\u001B[49m\u001B[43m(\u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mparams_\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 66\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(new_conditions, pd\u001B[38;5;241m.\u001B[39mDataFrame):\n\u001B[1;32m 67\u001B[0m new_conditions_array \u001B[38;5;241m=\u001B[39m new_conditions\n",
"File \u001B[0;32m~/Developer/autora-workflow/venv/lib/python3.10/site-packages/autora/experimentalist/pipeline.py:171\u001B[0m, in \u001B[0;36mPipeline.__call__\u001B[0;34m(self, ex, **params)\u001B[0m\n\u001B[1;32m 169\u001B[0m \u001B[38;5;28;01massert\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(pipe, Pipe)\n\u001B[1;32m 170\u001B[0m all_params_for_pipe \u001B[38;5;241m=\u001B[39m merged_params\u001B[38;5;241m.\u001B[39mget(name, \u001B[38;5;28mdict\u001B[39m())\n\u001B[0;32m--> 171\u001B[0m results\u001B[38;5;241m.\u001B[39mappend(\u001B[43mpipe\u001B[49m\u001B[43m(\u001B[49m\u001B[43mresults\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;241;43m-\u001B[39;49m\u001B[38;5;241;43m1\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[38;5;241;43m*\u001B[39;49m\u001B[43mall_params_for_pipe\u001B[49m\u001B[43m)\u001B[49m)\n\u001B[1;32m 173\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m results[\u001B[38;5;241m-\u001B[39m\u001B[38;5;241m1\u001B[39m]\n",
"Cell \u001B[0;32mIn[2], line 9\u001B[0m, in \u001B[0;36mcustom_random_sampler\u001B[0;34m(conditions, n)\u001B[0m\n\u001B[1;32m 8\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21mcustom_random_sampler\u001B[39m(conditions, n):\n\u001B[0;32m----> 9\u001B[0m sampled_conditions \u001B[38;5;241m=\u001B[39m \u001B[43mrandom_sampler_rng\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mchoice\u001B[49m\u001B[43m(\u001B[49m\u001B[43mconditions\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msize\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mn\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mreplace\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m)\u001B[49m\n\u001B[1;32m 10\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m sampled_conditions\n",
"File \u001B[0;32m_generator.pyx:729\u001B[0m, in \u001B[0;36mnumpy.random._generator.Generator.choice\u001B[0;34m()\u001B[0m\n",
"\u001B[0;31mValueError\u001B[0m: a cannot be empty unless no samples are taken"
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mcycle_with_state_dep_properties\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/cycle.py:82\u001b[0m, in \u001b[0;36mCycle.run\u001b[0;34m(self, num_cycles)\u001b[0m\n\u001b[1;32m 80\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrun\u001b[39m(\u001b[38;5;28mself\u001b[39m, num_cycles: \u001b[38;5;28mint\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m):\n\u001b[1;32m 81\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Execute the next step in the cycle.\"\"\"\u001b[39;00m\n\u001b[0;32m---> 82\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnum_steps\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnum_cycles\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 83\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
"File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/base.py:85\u001b[0m, in \u001b[0;36mBaseController.run\u001b[0;34m(self, num_steps)\u001b[0m\n\u001b[1;32m 83\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Run the next num_steps planned steps in the workflow.\"\"\"\u001b[39;00m\n\u001b[1;32m 84\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(num_steps):\n\u001b[0;32m---> 85\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_once\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 86\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
"File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/base.py:71\u001b[0m, in \u001b[0;36mBaseController.run_once\u001b[0;34m(self, step_name)\u001b[0m\n\u001b[1;32m 68\u001b[0m _logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnext_params\u001b[38;5;132;01m=}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 70\u001b[0m \u001b[38;5;66;03m# Execute\u001b[39;00m\n\u001b[0;32m---> 71\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mnext_function\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnext_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 72\u001b[0m _logger\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresult\u001b[38;5;132;01m=}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 74\u001b[0m \u001b[38;5;66;03m# Update\u001b[39;00m\n",
"File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/executor.py:174\u001b[0m, in \u001b[0;36mfull_cycle_wrapper.<locals>._executor_full_cycle\u001b[0;34m(state, params)\u001b[0m\n\u001b[1;32m 169\u001b[0m experimentalist_params \u001b[38;5;241m=\u001b[39m params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexperimentalist\u001b[39m\u001b[38;5;124m\"\u001b[39m, {})\n\u001b[1;32m 171\u001b[0m experimentalist_executor \u001b[38;5;241m=\u001b[39m from_experimentalist_pipeline(\n\u001b[1;32m 172\u001b[0m experimentalist_pipeline\n\u001b[1;32m 173\u001b[0m )\n\u001b[0;32m--> 174\u001b[0m experimentalist_result \u001b[38;5;241m=\u001b[39m \u001b[43mexperimentalist_executor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexperimentalist_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 176\u001b[0m experiment_runner_params \u001b[38;5;241m=\u001b[39m params\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexperiment_runner\u001b[39m\u001b[38;5;124m\"\u001b[39m, {})\n\u001b[1;32m 177\u001b[0m experiment_runner_executor \u001b[38;5;241m=\u001b[39m from_experiment_runner_callable(\n\u001b[1;32m 178\u001b[0m experiment_runner_callable\n\u001b[1;32m 179\u001b[0m )\n",
"File \u001b[0;32m~/Developer/autora-workflow/src/autora/workflow/executor.py:64\u001b[0m, in \u001b[0;36mfrom_experimentalist_pipeline.<locals>._executor_experimentalist\u001b[0;34m(state, params)\u001b[0m\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_executor_experimentalist\u001b[39m(state: SupportsControllerState, params: Dict):\n\u001b[1;32m 63\u001b[0m params_ \u001b[38;5;241m=\u001b[39m resolve_state_params(params, state)\n\u001b[0;32m---> 64\u001b[0m new_conditions \u001b[38;5;241m=\u001b[39m \u001b[43mpipeline\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mparams_\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 66\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(new_conditions, pd\u001b[38;5;241m.\u001b[39mDataFrame):\n\u001b[1;32m 67\u001b[0m new_conditions_array \u001b[38;5;241m=\u001b[39m new_conditions\n",
"File \u001b[0;32m~/Developer/autora-workflow/.venv/lib/python3.8/site-packages/autora/experimentalist/pipeline.py:171\u001b[0m, in \u001b[0;36mPipeline.__call__\u001b[0;34m(self, ex, **params)\u001b[0m\n\u001b[1;32m 169\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(pipe, Pipe)\n\u001b[1;32m 170\u001b[0m all_params_for_pipe \u001b[38;5;241m=\u001b[39m merged_params\u001b[38;5;241m.\u001b[39mget(name, \u001b[38;5;28mdict\u001b[39m())\n\u001b[0;32m--> 171\u001b[0m results\u001b[38;5;241m.\u001b[39mappend(\u001b[43mpipe\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresults\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mall_params_for_pipe\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 173\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m results[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\n",
"Cell \u001b[0;32mIn[3], line 9\u001b[0m, in \u001b[0;36mcustom_random_sampler\u001b[0;34m(conditions, n)\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcustom_random_sampler\u001b[39m(conditions, n):\n\u001b[0;32m----> 9\u001b[0m sampled_conditions \u001b[38;5;241m=\u001b[39m \u001b[43mrandom_sampler_rng\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchoice\u001b[49m\u001b[43m(\u001b[49m\u001b[43mconditions\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mreplace\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m sampled_conditions\n",
"File \u001b[0;32m_generator.pyx:729\u001b[0m, in \u001b[0;36mnumpy.random._generator.Generator.choice\u001b[0;34m()\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: a cannot be empty unless no samples are taken"
]
}
],
"source": [
"cycle_with_state_dep_properties.run() # doctest: +ELLIPSIS"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"pd.concat(cycle_with_state_dep_properties.data.conditions, ignore_index=True)\n"
"cycle_with_state_dep_properties.run()\n"
]
},
{
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2 changes: 1 addition & 1 deletion pyproject.toml
View file
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ readme = "docs/index.md"
license = { text = "MIT License" }

dependencies = [
"autora-core",
"autora-core>=3.2.0",
"scikit-learn",
"matplotlib",
"pandas",
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