fmda/test-plk2train.ipynb

   1 {
   2  "cells": [
   3   {
   4    "cell_type": "code",
   5    "execution_count": null,
   6    "id": "83cc1dc4-3dcb-4325-9263-58101a3dc378",
   7    "metadata": {},
   8    "outputs": [],
   9    "source": [
  10     "from utils import print_dict_summary, print_first, str2time, logging_setup\n",
  11     "import pickle\n",
  12     "import logging\n",
  13     "import os.path as osp\n",
  14     "from moisture_rnn_pkl import pkl2train, run_rnn_pkl\n",
  15     "from moisture_rnn import create_rnn_data_2 "
  16    ]
  17   },
  18   {
  19    "cell_type": "code",
  20    "execution_count": null,
  21    "id": "17db9b90-a931-4674-a447-5b8ffbcdc86a",
  22    "metadata": {},
  23    "outputs": [],
  24    "source": [
  25     "logging_setup()"
  26    ]
  27   },
  28   {
  29    "cell_type": "code",
  30    "execution_count": null,
  31    "id": "89e3ab9c-dfe0-4327-9ef6-0cd6f7afe1d4",
  32    "metadata": {},
  33    "outputs": [],
  34    "source": [
  35     "file_names=['test_NW_202401.pkl','test_CA_202401.pkl']\n",
  36     "file_dir='data'"
  37    ]
  38   },
  39   {
  40    "cell_type": "code",
  41    "execution_count": null,
  42    "id": "70e99786-05b3-47a8-b305-31571babd46b",
  43    "metadata": {},
  44    "outputs": [],
  45    "source": [
  46     "# osp.join works on windows too, joins paths using \\ or /\n",
  47     "file_paths = [osp.join(file_dir,file_name) for file_name in file_names]  "
  48    ]
  49   },
  50   {
  51    "cell_type": "code",
  52    "execution_count": null,
  53    "id": "4924a95d-e735-4f2a-9102-54dd3f9b5520",
  54    "metadata": {},
  55    "outputs": [],
  56    "source": [
  57     "# train = pkl2train(file_paths)"
  58    ]
  59   },
  60   {
  61    "cell_type": "code",
  62    "execution_count": null,
  63    "id": "57c9dbea-d033-4eb1-b38e-2bbba6980b92",
  64    "metadata": {},
  65    "outputs": [],
  66    "source": [
  67     "with open('train.pkl','rb') as file:\n",
  68     "    train=pickle.load(file)"
  69    ]
  70   },
  71   {
  72    "cell_type": "code",
  73    "execution_count": null,
  74    "id": "62e31f16-d887-4552-bc2b-6024992c0a0b",
  75    "metadata": {},
  76    "outputs": [],
  77    "source": [
  78     "# print_dict_summary(train)"
  79    ]
  80   },
  81   {
  82    "cell_type": "code",
  83    "execution_count": null,
  84    "id": "698df86b-8550-4135-81df-45dbf503dd4e",
  85    "metadata": {},
  86    "outputs": [],
  87    "source": [
  88     "from module_param_sets import param_sets"
  89    ]
  90   },
  91   {
  92    "cell_type": "code",
  93    "execution_count": null,
  94    "id": "4b0c9a9b-dd02-4251-aa4a-2acc1101e153",
  95    "metadata": {},
  96    "outputs": [],
  97    "source": [
  98     "param_sets_keys=['1']"
  99    ]
 100   },
 101   {
 102    "cell_type": "code",
 103    "execution_count": null,
 104    "id": "6b7ce5c3-4b6b-4fd4-9eb1-858318415270",
 105    "metadata": {},
 106    "outputs": [],
 107    "source": [
 108     "cases=[list(train.keys())[0]]"
 109    ]
 110   },
 111   {
 112    "cell_type": "code",
 113    "execution_count": null,
 114    "id": "dd22baf2-59d2-460e-8c47-b20116dd5982",
 115    "metadata": {},
 116    "outputs": [],
 117    "source": [
 118     "logging.info('Running over parameter sets %s',param_sets_keys)\n",
 119     "logging.info('Running over cases %s',cases)"
 120    ]
 121   },
 122   {
 123    "cell_type": "code",
 124    "execution_count": null,
 125    "id": "dc5b47bd-4fbc-44b8-b2dd-d118e068b450",
 126    "metadata": {},
 127    "outputs": [],
 128    "source": [
 129     "for i in param_sets_keys:\n",
 130     "    for case in cases:\n",
 131     "        run_rnn_pkl(train[case],param_sets[i])"
 132    ]
 133   },
 134   {
 135    "cell_type": "code",
 136    "execution_count": null,
 137    "id": "15384e4d-b8ec-4700-bdc2-83b0433d11c9",
 138    "metadata": {},
 139    "outputs": [],
 140    "source": [
 141     "logging.info('test-plk2train.ipynb done')"
 142    ]
 143   }
 144  ],
 145  "metadata": {
 146   "kernelspec": {
 147    "display_name": "Python 3 (ipykernel)",
 148    "language": "python",
 149    "name": "python3"
 150   },
 151   "language_info": {
 152    "codemirror_mode": {
 153     "name": "ipython",
 154     "version": 3
 155    },
 156    "file_extension": ".py",
 157    "mimetype": "text/x-python",
 158    "name": "python",
 159    "nbconvert_exporter": "python",
 160    "pygments_lexer": "ipython3",
 161    "version": "3.10.9"
 162   }
 163  },
 164  "nbformat": 4,
 165  "nbformat_minor": 5
 166 }