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re-run the analysis code (no change)
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@ysBach
ysBach committed Sep 8, 2021
1 parent 2730c9d commit 332c7c5
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22 changes: 11 additions & 11 deletions polarimetry/pol_analyzer.ipynb
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"name": "stdout",
"output_type": "stream",
"text": [
"This notebook was generated at 2021-09-03 13:54:43 (KST = GMT+0900) \n",
"This notebook was generated at 2021-09-08 20:38:05 (KST = GMT+0900) \n",
"0 Python 3.8.10 64bit [Clang 10.0.0 ]\n",
"1 IPython 7.25.0\n",
"2 OS macOS 10.16 x86_64 i386 64bit\n",
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"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/h6/tz6c2ch9771g23446ncvbczw0000gn/T/ipykernel_18676/3697028710.py:19: FutureWarning: In v4.0, pm.sample will return an `arviz.InferenceData` object instead of a `MultiTrace` by default. You can pass return_inferencedata=True or return_inferencedata=False to be safe and silence this warning.\n",
"/var/folders/h6/tz6c2ch9771g23446ncvbczw0000gn/T/ipykernel_55894/3697028710.py:19: FutureWarning: In v4.0, pm.sample will return an `arviz.InferenceData` object instead of a `MultiTrace` by default. You can pass return_inferencedata=True or return_inferencedata=False to be safe and silence this warning.\n",
" trace_b = pm.sample(20000, start=dict(h=0.1, a0=20, c1=0.1, c2=1.e-3))\n",
"Auto-assigning NUTS sampler...\n",
"Initializing NUTS using jitter+adapt_diag...\n",
Expand All @@ -655,7 +655,7 @@
" }\n",
" </style>\n",
" <progress value='84000' class='' max='84000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
" 100.00% [84000/84000 00:48<00:00 Sampling 4 chains, 0 divergences]\n",
" 100.00% [84000/84000 00:42<00:00 Sampling 4 chains, 0 divergences]\n",
" </div>\n",
" "
],
Expand All @@ -670,7 +670,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling 4 chains for 1_000 tune and 20_000 draw iterations (4_000 + 80_000 draws total) took 59 seconds.\n"
"Sampling 4 chains for 1_000 tune and 20_000 draw iterations (4_000 + 80_000 draws total) took 51 seconds.\n"
]
}
],
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"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/h6/tz6c2ch9771g23446ncvbczw0000gn/T/ipykernel_18676/2577184737.py:1: DeprecationWarning: The function `traceplot` from PyMC3 is just an alias for `plot_trace` from ArviZ. Please switch to `pymc3.plot_trace` or `arviz.plot_trace`.\n",
"/var/folders/h6/tz6c2ch9771g23446ncvbczw0000gn/T/ipykernel_55894/2577184737.py:1: DeprecationWarning: The function `traceplot` from PyMC3 is just an alias for `plot_trace` from ArviZ. Please switch to `pymc3.plot_trace` or `arviz.plot_trace`.\n",
" pm.traceplot(trace_b)\n",
"/Users/ysbach/opt/anaconda3/envs/2005ud/lib/python3.8/site-packages/arviz/data/io_pymc3.py:96: FutureWarning: Using `from_pymc3` without the model will be deprecated in a future release. Not using the model will return less accurate and less useful results. Make sure you use the model argument or call from_pymc3 within a model context.\n",
" warnings.warn(\n"
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"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/h6/tz6c2ch9771g23446ncvbczw0000gn/T/ipykernel_18676/4211646313.py:19: FutureWarning: In v4.0, pm.sample will return an `arviz.InferenceData` object instead of a `MultiTrace` by default. You can pass return_inferencedata=True or return_inferencedata=False to be safe and silence this warning.\n",
"/var/folders/h6/tz6c2ch9771g23446ncvbczw0000gn/T/ipykernel_55894/4211646313.py:19: FutureWarning: In v4.0, pm.sample will return an `arviz.InferenceData` object instead of a `MultiTrace` by default. You can pass return_inferencedata=True or return_inferencedata=False to be safe and silence this warning.\n",
" trace_f = pm.sample(20000, start=dict(h=0.1, a0=20, c1=0.1, c2=1.e-3))\n",
"Auto-assigning NUTS sampler...\n",
"INFO:pymc3:Auto-assigning NUTS sampler...\n",
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" }\n",
" </style>\n",
" <progress value='84000' class='' max='84000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
" 100.00% [84000/84000 00:43<00:00 Sampling 4 chains, 0 divergences]\n",
" 100.00% [84000/84000 00:38<00:00 Sampling 4 chains, 0 divergences]\n",
" </div>\n",
" "
],
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"name": "stderr",
"output_type": "stream",
"text": [
"Sampling 4 chains for 1_000 tune and 20_000 draw iterations (4_000 + 80_000 draws total) took 52 seconds.\n",
"INFO:pymc3:Sampling 4 chains for 1_000 tune and 20_000 draw iterations (4_000 + 80_000 draws total) took 52 seconds.\n"
"Sampling 4 chains for 1_000 tune and 20_000 draw iterations (4_000 + 80_000 draws total) took 47 seconds.\n",
"INFO:pymc3:Sampling 4 chains for 1_000 tune and 20_000 draw iterations (4_000 + 80_000 draws total) took 47 seconds.\n"
]
}
],
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"name": "stderr",
"output_type": "stream",
"text": [
"/var/folders/h6/tz6c2ch9771g23446ncvbczw0000gn/T/ipykernel_18676/2459473891.py:1: DeprecationWarning: The function `traceplot` from PyMC3 is just an alias for `plot_trace` from ArviZ. Please switch to `pymc3.plot_trace` or `arviz.plot_trace`.\n",
"/var/folders/h6/tz6c2ch9771g23446ncvbczw0000gn/T/ipykernel_55894/2459473891.py:1: DeprecationWarning: The function `traceplot` from PyMC3 is just an alias for `plot_trace` from ArviZ. Please switch to `pymc3.plot_trace` or `arviz.plot_trace`.\n",
" pm.traceplot(trace_f)\n",
"/Users/ysbach/opt/anaconda3/envs/2005ud/lib/python3.8/site-packages/arviz/data/io_pymc3.py:96: FutureWarning: Using `from_pymc3` without the model will be deprecated in a future release. Not using the model will return less accurate and less useful results. Make sure you use the model argument or call from_pymc3 within a model context.\n",
" warnings.warn(\n"
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"name": "stdout",
"output_type": "stream",
"text": [
"This notebook was finished at 2021-09-03 13:58:50 (KST = GMT+0900) \n"
"This notebook was finished at 2021-09-08 20:41:48 (KST = GMT+0900) \n"
]
}
],
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