Skip to content

Commit

Permalink
refresh notebooks docs and examples
Browse files Browse the repository at this point in the history 
- [x] remove outdated notebook
- [x] remove duplicates from examples
- [x] refresh wording with cmdstanpy instead of pystan
  • Loading branch information
@edwinnglabs
edwinnglabs committed Jan 22, 2024
1 parent 84fceaa commit 13cb633
Show file tree
Hide file tree
Showing 47 changed files with 1,389 additions and 31,567 deletions.
18 changes: 9 additions & 9 deletions docs/tutorials/build_your_own_model.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -496,7 +496,7 @@
{
"data": {
"text/plain": [
"<orbit.forecaster.svi.SVIForecaster at 0x2a5da37c0>"
"<orbit.forecaster.svi.SVIForecaster at 0x17f0f6070>"
]
},
"execution_count": 11,
Expand Down Expand Up @@ -531,25 +531,25 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:10:27 - orbit - INFO - Using SVI (Pyro) with steps: 501, samples: 100, learning rate: 0.1, learning_rate_total_decay: 1.0 and particles: 100.\n",
"2024-01-11 22:10:28 - orbit - INFO - step 0 loss = 27333, scale = 0.077497\n",
"2024-01-21 13:47:27 - orbit - INFO - Using SVI (Pyro) with steps: 501, samples: 100, learning rate: 0.1, learning_rate_total_decay: 1.0 and particles: 100.\n",
"2024-01-21 13:47:27 - orbit - INFO - step 0 loss = 27333, scale = 0.077497\n",
"INFO:orbit:step 0 loss = 27333, scale = 0.077497\n",
"2024-01-11 22:10:29 - orbit - INFO - step 100 loss = 12594, scale = 0.00924\n",
"2024-01-21 13:47:29 - orbit - INFO - step 100 loss = 12594, scale = 0.00924\n",
"INFO:orbit:step 100 loss = 12594, scale = 0.00924\n",
"2024-01-11 22:10:31 - orbit - INFO - step 200 loss = 12596, scale = 0.0094562\n",
"2024-01-21 13:47:31 - orbit - INFO - step 200 loss = 12596, scale = 0.0094562\n",
"INFO:orbit:step 200 loss = 12596, scale = 0.0094562\n",
"2024-01-11 22:10:33 - orbit - INFO - step 300 loss = 12591, scale = 0.0092175\n",
"2024-01-21 13:47:32 - orbit - INFO - step 300 loss = 12591, scale = 0.0092175\n",
"INFO:orbit:step 300 loss = 12591, scale = 0.0092175\n",
"2024-01-11 22:10:35 - orbit - INFO - step 400 loss = 12594, scale = 0.0095741\n",
"2024-01-21 13:47:34 - orbit - INFO - step 400 loss = 12594, scale = 0.0095741\n",
"INFO:orbit:step 400 loss = 12594, scale = 0.0095741\n",
"2024-01-11 22:10:36 - orbit - INFO - step 500 loss = 12591, scale = 0.0095602\n",
"2024-01-21 13:47:36 - orbit - INFO - step 500 loss = 12591, scale = 0.0095602\n",
"INFO:orbit:step 500 loss = 12591, scale = 0.0095602\n"
]
},
{
"data": {
"text/plain": [
"<orbit.forecaster.svi.SVIForecaster at 0x2a5da37c0>"
"<orbit.forecaster.svi.SVIForecaster at 0x17f0f6070>"
]
},
"execution_count": 12,
Expand Down
4 changes: 2 additions & 2 deletions docs/tutorials/decompose_prediction.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -111,13 +111,13 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:10:53 - orbit - INFO - Sampling (PyStan) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
"2024-01-21 14:39:49 - orbit - INFO - Sampling (CmdStanPy) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
]
},
{
"data": {
"text/plain": [
"<orbit.forecaster.full_bayes.FullBayesianForecaster at 0x1058475b0>"
"<orbit.forecaster.full_bayes.FullBayesianForecaster at 0x108f9ca60>"
]
},
"execution_count": 4,
Expand Down
42 changes: 22 additions & 20 deletions docs/tutorials/dlt.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -201,7 +201,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:11:09 - orbit - INFO - Optimizing (PyStan) with algorithm: LBFGS.\n"
"2024-01-21 13:46:06 - orbit - INFO - Optimizing (CmdStanPy) with algorithm: LBFGS.\n"
]
},
{
Expand All @@ -218,8 +218,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 795 ms, sys: 1.27 s, total: 2.06 s\n",
"Wall time: 481 ms\n"
"CPU times: user 613 ms, sys: 1.34 s, total: 1.96 s\n",
"Wall time: 729 ms\n"
]
}
],
Expand Down Expand Up @@ -252,13 +252,13 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:11:10 - orbit - INFO - Sampling (PyStan) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
"2024-01-21 13:46:06 - orbit - INFO - Sampling (CmdStanPy) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
]
},
{
"data": {
"text/plain": [
"<orbit.forecaster.full_bayes.FullBayesianForecaster at 0x174876ca0>"
"<orbit.forecaster.full_bayes.FullBayesianForecaster at 0x175098400>"
]
},
"execution_count": 5,
Expand Down Expand Up @@ -333,7 +333,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:11:12 - orbit - INFO - Optimizing (PyStan) with algorithm: LBFGS.\n"
"2024-01-21 13:46:08 - orbit - INFO - Optimizing (CmdStanPy) with algorithm: LBFGS.\n"
]
},
{
Expand All @@ -350,8 +350,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 1.01 s, sys: 956 ms, total: 1.97 s\n",
"Wall time: 501 ms\n"
"CPU times: user 593 ms, sys: 1.38 s, total: 1.97 s\n",
"Wall time: 468 ms\n"
]
}
],
Expand Down Expand Up @@ -403,15 +403,15 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:11:12 - orbit - INFO - Optimizing (PyStan) with algorithm: LBFGS.\n"
"2024-01-21 13:46:09 - orbit - INFO - Optimizing (CmdStanPy) with algorithm: LBFGS.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 280 ms, sys: 110 ms, total: 391 ms\n",
"Wall time: 351 ms\n"
"CPU times: user 324 ms, sys: 268 ms, total: 592 ms\n",
"Wall time: 344 ms\n"
]
},
{
Expand Down Expand Up @@ -479,7 +479,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:11:13 - orbit - INFO - Optimizing (PyStan) with algorithm: LBFGS.\n"
"2024-01-21 13:46:10 - orbit - INFO - Optimizing (CmdStanPy) with algorithm: LBFGS.\n"
]
},
{
Expand All @@ -496,8 +496,8 @@
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 1.14 s, sys: 941 ms, total: 2.08 s\n",
"Wall time: 468 ms\n"
"CPU times: user 735 ms, sys: 1.51 s, total: 2.24 s\n",
"Wall time: 478 ms\n"
]
}
],
Expand Down Expand Up @@ -552,7 +552,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:11:14 - orbit - INFO - Sampling (PyStan) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
"2024-01-21 13:46:10 - orbit - INFO - Sampling (CmdStanPy) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
]
},
{
Expand Down Expand Up @@ -684,19 +684,21 @@
},
{
"cell_type": "markdown",
"metadata": {},
"metadata": {
"tags": []
},
"source": [
"### High Dimensional and Fourier Series Regression\n",
"\n",
"In case of high dimensional regression, users can consider fixing the smoothness with a relatively small levels smoothing values e.g. setting `level_sm_input=0.01`. This is particularly useful in modeling higher frequency time-series such as daily and hourly data using regression on Fourier series. Check out the `examples/` folder for more details."
"In case of high dimensional regression, users can consider fixing the smoothness with a relatively small levels smoothing values e.g. setting `level_sm_input=0.01`. This is particularly useful in modeling higher frequency time-series such as daily and hourly data using regression on Fourier series. Check out the `examples/` folder for the details."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.8.18 ('orbit38')",
"display_name": "orbit39",
"language": "python",
"name": "python3"
"name": "orbit39"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -708,7 +710,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.18"
"version": "3.9.18"
},
"toc": {
"base_numbering": 1,
Expand Down
32 changes: 16 additions & 16 deletions docs/tutorials/ets_lgt_dlt_missing_response.ipynb
View file
Original file line number Diff line number Diff line change
Expand Up @@ -297,13 +297,13 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:12:15 - orbit - INFO - Sampling (PyStan) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
"2024-01-21 14:38:49 - orbit - INFO - Sampling (CmdStanPy) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "675e617a68644e69bc19461f72afcb76",
"model_id": "7127326a60cb455a92d2f29cc00a7a3d",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -317,7 +317,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e61ef67e9c1349a391fa6d7dd8049409",
"model_id": "788443932419449f9e398df74e8180ab",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -331,7 +331,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "4b4e1e5d00f0412fb2e3db4fe0f7f877",
"model_id": "f75584f0370742288f15096a09a23ee2",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -345,7 +345,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "a0676da571094a85b5d2f7028395da0a",
"model_id": "ee67293605f9471c876b59bd14d63cc0",
"version_major": 2,
"version_minor": 0
},
Expand Down Expand Up @@ -397,13 +397,13 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:12:15 - orbit - INFO - Sampling (PyStan) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
"2024-01-21 14:38:50 - orbit - INFO - Sampling (CmdStanPy) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "62892bd875c846049d52ee7c19c7ec4f",
"model_id": "91631a6519be4f9eb191e0655fbac846",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -417,7 +417,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f95443129e8f4ad6b519cde63f110bb7",
"model_id": "5117ba9e278f4c93915daa1cade2411e",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -431,7 +431,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "42da72d1bdf44ade9718c58a0f720fec",
"model_id": "e047da76e6a3451dbfb3895656ccc731",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -445,7 +445,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "6fa4d95140674159917f351e5cef602e",
"model_id": "da8adf7c21ea478ebc9471902d193535",
"version_major": 2,
"version_minor": 0
},
Expand Down Expand Up @@ -497,13 +497,13 @@
"name": "stderr",
"output_type": "stream",
"text": [
"2024-01-11 22:12:19 - orbit - INFO - Sampling (PyStan) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
"2024-01-21 14:38:53 - orbit - INFO - Sampling (CmdStanPy) with chains: 4, cores: 8, temperature: 1.000, warmups (per chain): 225 and samples(per chain): 25.\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "d00171d6ff2545f4a040fd4eaa0cbc85",
"model_id": "c51672ad186240cc80ddffdcddff9c3d",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -517,7 +517,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "91ba7166933843f58b473ebb545db892",
"model_id": "956c2e23d6514668bf16bceac75fbbc8",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -531,7 +531,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "0c82ee131b7447d59a20223622fbb1b6",
"model_id": "aa820a1c6a57417cbe4ba807f7d1e063",
"version_major": 2,
"version_minor": 0
},
Expand All @@ -545,7 +545,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e2f800290b394e4f8a483e2bf8d36644",
"model_id": "e6349c96e2044c65a8b9f99a03fe181d",
"version_major": 2,
"version_minor": 0
},
Expand Down Expand Up @@ -811,7 +811,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 14,
"metadata": {
"ExecuteTime": {
"end_time": "2021-12-16T20:11:05.798766Z",
Expand Down
Loading

0 comments on commit 13cb633

Please sign in to comment.