ga: add precommit

Author: thatgeeman

.pre-commit-config.yaml

@@ -1,10 +1,31 @@
 # See https://pre-commit.com for more information
 # See https://pre-commit.com/hooks.html for more hooks
 repos:
--   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v3.2.0
-    hooks:
-    -   id: trailing-whitespace
-    -   id: end-of-file-fixer
-    -   id: check-yaml
-    -   id: check-added-large-files
+    - repo: https://github.com/pre-commit/pre-commit-hooks
+      rev: v3.2.0
+      hooks:
+          - id: trailing-whitespace
+          - id: end-of-file-fixer
+          - id: check-yaml
+          - id: check-added-large-files
+    - repo: local
+      hooks:
+          - id: nbdev_docs
+            name: nbdev_docs
+            entry: nbdev_docs
+            language: system
+            pass_filenames: false
+    - repo: local
+      hooks:
+          - id: nbdev_readme
+            name: nbdev_readme
+            entry: nbdev_readme
+            language: system
+            pass_filenames: false
+    - repo: local
+      hooks:
+          - id: nbdev_export
+            name: nbdev_export
+            entry: nbdev_export
+            language: system
+            pass_filenames: false

README.md

@@ -9,6 +9,10 @@ This is a work in progress.
 #### TODO
 
 - [ ] Separate training from notebooks
+- [ ] Fix github-actions
+  - [ ] Page deployment
+  - [ ] CI tests
+  - [x] precommit
 - [x] Build complete AD pipeline
 - [ ] include fine-grained threshold for within window detection.
 - [x] use a squared term if the absolute element-wise error falls below
@@ -36,7 +40,7 @@ beyond a threshold (L2 norm) is considered an anomaly.
 In the figure, red dashed lines are the true labels in the hidden set.
 Pink window is the region where anomaly was predicted.
 
-![sample_data/image.png](sample_data/result.png)
+![sample_data/image.png](index_files/figure-commonmark/cell-5-1-image.png)
 
 ## Misc
 

nbs/index.ipynb

@@ -16,7 +16,7 @@
     "- [ ] Fix github-actions\n",
     "  - [ ] Page deployment\n",
     "  - [ ] CI tests\n",
-    "  - [ ] precommit\n",
+    "  - [x] precommit\n",
     "- [x] Build complete AD pipeline\n",
     "- [ ] include fine-grained threshold for within window detection.\n",
     "- [x] use a squared term if the absolute element-wise error falls below delta and a delta-scaled L1 term otherwise (Huber)\n",

ts_vae_lstm/ad_complete.py

@@ -1,7 +1,7 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: ../nbs/03_ad_complete.ipynb.
 
 # %% auto 0
-__all__ = ['BASEDIR', 'MODELDIR', 'VAE_MODEL', 'LSTM_MODEL', 'df', 'predict_next_embeddings', 'reconstruct_ts', 'AD']
+__all__ = ['BASEDIR', 'MODELDIR', 'VAE_MODEL', 'LSTM_MODEL', 'predict_next_embeddings', 'reconstruct_ts', 'AD']
 
 # %% ../nbs/03_ad_complete.ipynb 3
 import pandas as pd
@@ -39,10 +39,6 @@
 
 print(f"LSTM model: {LSTM_MODEL}\nVAE model: {VAE_MODEL}")
 
-# %% ../nbs/03_ad_complete.ipynb 15
-df = pd.DataFrame(data_test_norm, index=data["t_test"], columns=["value"])
-df.head(2)
-
 # %% ../nbs/03_ad_complete.ipynb 24
 @torch.no_grad()
 def predict_next_embeddings(emb, lstm_model):