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Merged
alicjapolanska merged 11 commits into from
Nov 13, 2025
Merged

Update notebooks #323

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6f74e2f
Update imports of legacy models
alicjapolanska Nov 13, 2025
a3bedf4
Change diagnostics to log space
alicjapolanska Nov 13, 2025
464463a
Update to spllines
alicjapolanska Nov 13, 2025
e3b4e89
Update notebook
alicjapolanska Nov 13, 2025
3ee0627
Add check fot collab
alicjapolanska Nov 13, 2025
35688a1
Move capture up
alicjapolanska Nov 13, 2025
3a3562f
Update imports
alicjapolanska Nov 13, 2025
139bbac
Update notebook
alicjapolanska Nov 13, 2025
5d0c96a
Go back to importing sys
alicjapolanska Nov 13, 2025
41093c0
Check if google colab
alicjapolanska Nov 13, 2025
1e49d03
Update notebooks/cross_validation_hyper_parameters.ipynb
alicjapolanska Nov 13, 2025
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12 changes: 6 additions & 6 deletions harmonic/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -336,20 +336,20 @@ def cross_validation(
)
)
hm.logs.debug_log(
"cross_validation: evidence_inv = {}".format(ev.evidence_inv)
"cross_validation: evidence_inv = {}".format(np.exp(ev.ln_evidence_inv))
)
hm.logs.debug_log(
"cross_validation: evidence_inv_var = {}".format(ev.evidence_inv_var)
"cross_validation: evidence_inv_var = {}".format(np.exp(ev.ln_evidence_inv_var))
)
hm.logs.debug_log(
"cross_validation:"
+ " evidence_inv_var**0.5/evidence_inv = {}".format(
ev.evidence_inv_var**0.5 / ev.evidence_inv
+ " ln evidence_inv_var**0.5/evidence_inv = {}".format(
(ev.ln_evidence_inv_var*0.5) - ev.ln_evidence_inv
)
)
hm.logs.debug_log(
"cross_validation: evidence_inv_var_var = {}".format(
ev.evidence_inv_var_var
"cross_validation: ln_evidence_inv_var_var = {}".format(
ev.ln_evidence_inv_var_var
)
)

Expand Down
54 changes: 26 additions & 28 deletions notebooks/basic_usage.ipynb
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44 changes: 23 additions & 21 deletions notebooks/checkpointing.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -39,20 +39,21 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {
"id": "XSCBJ_S4XvDe"
},
"outputs": [],
"source": [
"%%capture\n",
"# Install packages\n",
"%pip install harmonic emcee corner getdist"
"if 'google.colab' in str(get_ipython()):\n",
" # Install packages\n",
" %pip install harmonic emcee corner getdist"
]
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": 2,
"metadata": {
"id": "1OtVkBf7OAIF"
},
Expand All @@ -79,7 +80,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"metadata": {
"id": "8PgO6f4VQSpD"
},
Expand Down Expand Up @@ -130,7 +131,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 4,
"metadata": {
"id": "xjsxOkX0QSzL"
},
Expand Down Expand Up @@ -161,7 +162,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 5,
"metadata": {
"id": "Ju_YJlk2QS7x"
},
Expand All @@ -187,7 +188,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 6,
"metadata": {
"id": "us1kBuWlQZTy"
},
Expand All @@ -196,7 +197,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"Training NF: 100%|██████████| 4/4 [01:45<00:00, 26.27s/it]\n"
"Training NF: 100%|██████████| 4/4 [01:09<00:00, 17.46s/it]\n"
]
}
],
Expand Down Expand Up @@ -270,7 +271,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 7,
"metadata": {
"id": "Eel3bSORQZW0"
},
Expand All @@ -293,7 +294,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 8,
"metadata": {
"id": "eSxxNW1KQZZc"
},
Expand Down Expand Up @@ -328,7 +329,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 9,
"metadata": {
"id": "efPNgW8qQZcW"
},
Expand All @@ -348,7 +349,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 10,
"metadata": {
"id": "WrB47hA3QZfM"
},
Expand All @@ -357,9 +358,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
"ln_evidence_err_neg = -0.0031277022888513755\n",
"ln_evidence_err_pos = 0.0031179502607592245\n",
"ln_evidence_err_avg = 0.0031228262748053\n"
"ln_evidence_err_neg = -0.004000549204647541\n",
"ln_evidence_err_pos = 0.003984608221799135\n",
"ln_evidence_err_avg = 0.003992578946053982\n"
]
}
],
Expand All @@ -373,7 +374,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 11,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
Expand All @@ -386,9 +387,9 @@
"name": "stdout",
"output_type": "stream",
"text": [
"ln_evidence (harmonic) = 9.186614990234375 (+ 0.0031179502607592245 / -0.0031277022888513755)\n",
"ln_evidence (harmonic) = 9.188836097717285 (+ 0.003984608221799135 / -0.004000549204647541)\n",
"ln_evidence (analytic) = 9.189385332046726\n",
"nsigma = 0.887126458074755\n"
"nsigma = 0.13756379945435523\n"
]
}
],
Expand Down Expand Up @@ -418,7 +419,8 @@
"toc_visible": true
},
"kernelspec": {
"display_name": "Python 3",
"display_name": "hm_140",
"language": "python",
"name": "python3"
},
"language_info": {
Expand All @@ -431,7 +433,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.18"
"version": "3.13.9"
}
},
"nbformat": 4,
Expand Down
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