From c0daaaa548fa380d12457a4cd21ba4502c640eb9 Mon Sep 17 00:00:00 2001
From: jh-206 <jhirschi206@gmail.com>
Date: Mon, 17 Jun 2024 09:58:26 -0600
Subject: [PATCH] Update rnn_workshop.ipynb

---
 fmda/rnn_workshop.ipynb | 103 +++++++++---------------------------------------
 1 file changed, 19 insertions(+), 84 deletions(-)

diff --git a/fmda/rnn_workshop.ipynb b/fmda/rnn_workshop.ipynb
index 15e231c..5ab52ac 100644
--- a/fmda/rnn_workshop.ipynb
+++ b/fmda/rnn_workshop.ipynb
@@ -18,7 +18,7 @@
     "import reproducibility\n",
     "from utils import print_dict_summary\n",
     "from data_funcs import load_and_fix_data, rmse\n",
-    "from moisture_rnn import RNN, create_rnn_data2\n",
+    "from moisture_rnn import RNN, RNN_LSTM, create_rnn_data2\n",
     "from moisture_rnn_pkl import pkl2train\n",
     "from tensorflow.keras.callbacks import Callback\n",
     "from sklearn.metrics import mean_squared_error\n",
@@ -164,10 +164,27 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "88a73c40-0bab-4aa0-8265-00f427aa97ea",
+   "id": "71d4e441-9bf1-4d57-bb37-091553e23212",
    "metadata": {},
    "outputs": [],
    "source": [
+    "import importlib \n",
+    "import moisture_rnn\n",
+    "importlib.reload(moisture_rnn)\n",
+    "from moisture_rnn import RNN_LSTM"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88a73c40-0bab-4aa0-8265-00f427aa97ea",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [],
+   "source": [
     "from moisture_rnn import RNN_LSTM\n",
     "\n",
     "# from tensorflow.keras.layers import LSTM, Input, Dropout, Dense, SimpleRNN\n",
@@ -388,76 +405,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "89f3ee62-4bef-4eb9-a599-405beaa0632d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "rnn_dat = create_rnn_data2(train['reproducibility'],params2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ac7b05a3-8788-4fcb-9a8b-3c8c28426803",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# from tensorflow.keras.layers import LSTM, Input, Dropout, Dense\n",
-    "reproducibility.set_seed()\n",
-    "params2.update({'epochs': 50})\n",
-    "lstm = RNN_LSTM(params2)\n",
-    "lstm.fit(rnn_dat[\"X_train\"], rnn_dat[\"y_train\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f51fbc8c-9b0f-42c9-bfbb-5f4c0cacaa27",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "lstm = RNN_LSTM(params2)\n",
-    "lstm.fit(rnn_dat[\"X_train\"], rnn_dat[\"y_train\"], \n",
-    "         validation_data = (rnn_dat['X_val'], rnn_dat['y_val']))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1df67d38-fbe0-4e3b-9dd9-ec25d8378e4b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# from moisture_rnn import repro_hashes"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "51ecf9fd-d026-4edf-91ba-6fd050dbd1d0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "lstm = RNN_LSTM(params2)\n",
-    "lstm.run_model(rnn_dat)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "71d4e441-9bf1-4d57-bb37-091553e23212",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import importlib \n",
-    "import moisture_rnn\n",
-    "importlib.reload(moisture_rnn)\n",
-    "from moisture_rnn import RNN_LSTM"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
    "id": "59480f19-3567-4b24-b6ff-d9292dc8c2ec",
    "metadata": {},
    "outputs": [],
@@ -481,18 +428,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "95d7ae31-e3fb-4a44-95bd-093ec34e0ce5",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "reproducibility.set_seed()\n",
-    "lstm = RNN_LSTM(params)\n",
-    "lstm.fit(rnn_dat[\"X_train\"], rnn_dat[\"y_train\"])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
    "id": "6a9d612e-8cd2-40ca-a789-91c99c3d6ccd",
    "metadata": {},
    "outputs": [],
-- 
2.11.4.GIT