atom-predict/egnn_v2/.ipynb_checkpoints/MetricsTest-TSNE-checkpoint...

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "1b9d61dc-a2c3-4400-aa3e-ead3f11a30e5",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import torch\n",
"import collections\n",
"import torch.nn as nn\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"from sklearn.manifold import TSNE\n",
"from core.model import PL_EGNN\n",
"from core.data import AtomDataset\n",
"from sklearn.metrics import f1_score, confusion_matrix"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "28e77574-9a3b-4bfc-8cfa-0f18391c2153",
"metadata": {},
"outputs": [],
"source": [
"ds = AtomDataset('../../data/gnn_data/test/')\n",
"model = PL_EGNN()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "61e67118-eeef-46cb-9ed5-daf70d6a526b",
"metadata": {},
"outputs": [],
"source": [
"ckpt_path = './logs/0/version_0/checkpoints/epoch=15-val_loss=0.03-val_acc=0.99.ckpt'\n",
"ckpt = torch.load(ckpt_path)['state_dict']\n",
"ckpt = collections.OrderedDict([(k.replace('model.model', 'model'), v) for k, v in ckpt.items()])"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "9b2b1dc0-edf8-4b23-b594-f2899f623621",
"metadata": {},
"outputs": [],
"source": [
"model.load_state_dict(ckpt, strict=False);\n",
"model.model.embedding_out[1] = nn.Identity()\n",
"model.model.embedding_out[2] = nn.Identity()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "46cfc31e-9622-4114-a613-a310193b90ed",
"metadata": {},
"outputs": [],
"source": [
"model.eval()\n",
"\n",
"hs = []\n",
"ys = []\n",
"names = []\n",
"\n",
"for data in ds:\n",
" with torch.no_grad():\n",
" light = data.light\n",
" pos = data.pos\n",
" edge_index = data.edge_index\n",
" name = data.name\n",
" \n",
" y = [int(data.label[0])]\n",
" h = [model(light, pos, edge_index)[0].numpy().tolist()]\n",
" \n",
" ys += y\n",
" hs += h\n",
" names += [name]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "46396926-df6b-4933-95f3-0adbd1245ce6",
"metadata": {},
"outputs": [],
"source": [
"ys = np.array(ys)\n",
"hs = np.array(hs)\n",
"names = np.array(names)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "1b2531f1-99fd-4933-b031-4713214be4be",
"metadata": {},
"outputs": [],
"source": [
"# 10\n",
"\n",
"idx = [name.split('_')[0] == '10' for name in names]\n",
"hs = hs[idx]\n",
"ys = ys[idx]"
]
},
{
"cell_type": "markdown",
"id": "3b8f5872-3e30-4f6a-b73f-accc3bbc016b",
"metadata": {
"tags": []
},
"source": [
"# TSNE"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "83b4fc09-b7ef-4262-af53-48e743449b50",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Exception ignored on calling ctypes callback function: <function _ThreadpoolInfo._find_modules_with_dl_iterate_phdr.<locals>.match_module_callback at 0x7f29163ca790>\n",
"Traceback (most recent call last):\n",
" File \"/home/andrewtal/.conda/envs/cmae/lib/python3.8/site-packages/threadpoolctl.py\", line 400, in match_module_callback\n",
" self._make_module_from_path(filepath)\n",
" File \"/home/andrewtal/.conda/envs/cmae/lib/python3.8/site-packages/threadpoolctl.py\", line 515, in _make_module_from_path\n",
" module = module_class(filepath, prefix, user_api, internal_api)\n",
" File \"/home/andrewtal/.conda/envs/cmae/lib/python3.8/site-packages/threadpoolctl.py\", line 606, in __init__\n",
" self.version = self.get_version()\n",
" File \"/home/andrewtal/.conda/envs/cmae/lib/python3.8/site-packages/threadpoolctl.py\", line 646, in get_version\n",
" config = get_config().split()\n",
"AttributeError: 'NoneType' object has no attribute 'split'\n"
]
},
{
"data": {
"text/plain": [
"(-99.31621017456055, 93.25433578491212, -70.31509552001953, 72.95047149658203)"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tsne = TSNE(n_components=2)\n",
"X_tsne = tsne.fit_transform(hs)\n",
"\n",
"plt.scatter(X_tsne[:,0], X_tsne[:,1], c=ys)\n",
"plt.axis('off')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "041b1eba-cc0d-401e-94a3-cdcf73c1a952",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"df = pd.DataFrame()\n",
"df['x1'] = X_tsne[:, 0]\n",
"df['x2'] = X_tsne[:, 1]\n",
"df['label'] = ys\n",
"df.to_csv('./line_10_only_classification.txt', index=None)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "67cb3128-4fcf-4332-b6d7-87642e818b10",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "cmae",
"language": "python",
"name": "cmae"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}