mirror of
https://github.com/wassname/DeepTime.git
synced 2026-07-04 19:45:14 +08:00
419 lines
124 KiB
Plaintext
419 lines
124 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "4e09086b",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-11-20T05:05:01.730258Z",
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"start_time": "2022-11-20T05:05:00.558925Z"
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},
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"lines_to_next_cell": 0
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},
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"outputs": [],
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"source": [
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"\n",
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"import os\n",
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"from os.path import join\n",
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"import math\n",
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"import logging\n",
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"from typing import Callable, Optional, Union, Dict, Tuple\n",
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"\n",
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"from matplotlib import pyplot as plt\n",
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"from pathlib import Path\n",
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"import matplotlib.colors as mcolors\n",
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"\n",
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"import gin\n",
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"from fire import Fire\n",
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"import numpy as np\n",
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"import torch\n",
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"from torch.utils.data import DataLoader\n",
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"from torch import optim\n",
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"from torch import nn\n",
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"\n",
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"from experiments.base import Experiment\n",
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"from data.datasets import ForecastDataset\n",
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"from models import get_model\n",
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"from utils.checkpoint import Checkpoint\n",
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"from utils.ops import default_device, to_tensor\n",
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"from utils.losses import get_loss_fn\n",
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"from utils.metrics import calc_metrics\n",
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"\n",
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"from experiments.forecast import get_data\n",
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"gin.enter_interactive_mode()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "66d7f095",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-11-19T23:55:34.939075Z",
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"start_time": "2022-11-19T23:55:34.820277Z"
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}
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"id": "d4df5270",
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"metadata": {},
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"source": [
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"# auto"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "04499bef",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-11-20T05:05:01.737023Z",
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"start_time": "2022-11-20T05:05:01.731574Z"
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}
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},
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"outputs": [],
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"source": [
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"\n",
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"\n",
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"def plot(model_name=\"deeptime\", save_path=Path(\"storage/experiments/Exchange/96M/repeat=0\"), i=200, title=None, plot=True):\n",
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"\n",
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" gin.clear_config()\n",
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" gin.parse_config(open(save_path/\"config.gin\"))\n",
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"\n",
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" train_set, train_loader = get_data(flag='train', batch_size=2)\n",
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"\n",
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" model = get_model(model_name,\n",
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" dim_size=train_set.data_x.shape[1],\n",
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" datetime_feats=train_set.timestamps.shape[-1]).to(default_device())\n",
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" model.load_state_dict(torch.load(save_path/'model.pth'))\n",
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" model = model.eval()\n",
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"\n",
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"\n",
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" b = train_set[i]\n",
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" b = [bb[None, :] for bb in b]\n",
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" x, y, x_time, y_time = map(to_tensor, b)\n",
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" with torch.no_grad():\n",
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" forecast = model(x, x_time, y_time)\n",
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"\n",
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" if title is None:\n",
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" title = str(save_path).split('/')[-3:]\n",
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" title = \"-\".join(title)\n",
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" \n",
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" colors = list(mcolors.BASE_COLORS.keys())\n",
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" l = x.shape[1]\n",
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" forecast2 = forecast[0].detach().cpu().numpy()\n",
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" x2 = x[0].cpu()\n",
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" y2 = y[0].cpu()\n",
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" l2 = y.shape[1]\n",
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" i_past = list(range(l))\n",
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" i_future = list(range(l, l+l2))\n",
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" \n",
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" if plot:\n",
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" plt.title(title)\n",
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" for i in range(x.shape[-1]):\n",
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" plt.plot(i_past, x2[:, i], c=colors[i])\n",
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" for i in range(x.shape[-1]):\n",
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" plt.plot(i_future, y2[:, i], c=colors[i])\n",
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" for i in range(x.shape[-1]):\n",
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" plt.plot(i_future, forecast2[:, i], c=colors[i], linestyle='--')\n",
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" return x2, y2, forecast2, i_past, i_future\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "768530be",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-11-20T06:28:43.599757Z",
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"start_time": "2022-11-20T06:28:43.593884Z"
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}
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},
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"outputs": [],
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"source": [
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"\n",
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"\n",
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"def plot_multi(model_names=[\"deeptime\"], save_paths=[Path(\"storage/experiments/Exchange/96M/repeat=0\")], i=200, title=None, plot=True):\n",
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" for j in range(len(model_names)):\n",
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" model_name = model_names[j]\n",
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" save_path = save_paths[j]\n",
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"\n",
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" gin.clear_config()\n",
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" gin.parse_config(open(save_path/\"config.gin\"))\n",
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"\n",
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" train_set, train_loader = get_data(flag='train', batch_size=2)\n",
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"\n",
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" model = get_model(model_name,\n",
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" dim_size=train_set.data_x.shape[1],\n",
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" datetime_feats=train_set.timestamps.shape[-1]).to(default_device())\n",
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" model.load_state_dict(torch.load(save_path/'model.pth'))\n",
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" model = model.eval()\n",
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"\n",
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"\n",
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" b = train_set[i]\n",
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" b = [bb[None, :] for bb in b]\n",
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" x, y, x_time, y_time = map(to_tensor, b)\n",
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" with torch.no_grad():\n",
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" forecast = model(x, x_time, y_time)\n",
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"\n",
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"# if title is None:\n",
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"# title = str(save_path).split('/')[-3:]\n",
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"# title = \"-\".join(title)\n",
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"\n",
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"\n",
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" \n",
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" colors = list(mcolors.BASE_COLORS.keys())\n",
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" l = x.shape[1]\n",
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" forecast2 = forecast[0].detach().cpu().numpy()\n",
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" x2 = x[0].cpu()\n",
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" y2 = y[0].cpu()\n",
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" l2 = y.shape[1]\n",
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" i_past = list(range(l))\n",
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" i_future = list(range(l, l+l2))\n",
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"\n",
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" linestyles = [ '--', '-.', '-', ':']\n",
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" if plot:\n",
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" ls = linestyles[j]\n",
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" print(ls)\n",
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" if j==0:\n",
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" \n",
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" \n",
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" for k in range(x.shape[-1]):\n",
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" plt.plot(i_past, x2[:, k], c=colors[k], label=f\"var {k}\")\n",
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" for k in range(x.shape[-1]):\n",
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" plt.plot(i_future, y2[:, k], c=colors[k])\n",
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" \n",
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" mtitle = str(save_path).split('/')[-2:-1]\n",
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" mtitle = \"-\".join(mtitle)\n",
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" for k in range(x.shape[-1]):\n",
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" plt.plot(i_future, forecast2[:, k], c=colors[j], linestyle=ls, label=f\"{mtitle}\" if k==0 else None)\n",
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" plt.legend()\n",
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" plt.title(title)\n",
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" return x2, y2, forecast2, i_past, i_future\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "b8843217",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-11-20T06:28:44.027370Z",
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"start_time": "2022-11-20T06:28:43.868638Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"--\n",
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"receptive field [552 234 114]=[138 18 2]*[[ 1 1 1]\n",
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" [ 1 2 4]\n",
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" [ 1 4 16]\n",
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" [ 1 6 36]]\n",
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"-.\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"1"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plot_multi(model_names=[\"deeptime\", \"deeptime2\"],\n",
|
|
" save_paths=[\n",
|
|
" Path(\"storage/experiments/Exchange/96S/repeat=0\"),\n",
|
|
" Path(\"storage/experiments/Exchange/96Splus/repeat=0\"),\n",
|
|
" ],\n",
|
|
" i=100\n",
|
|
" )\n",
|
|
"1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"id": "d39ba7c5",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2022-11-20T06:28:44.558033Z",
|
|
"start_time": "2022-11-20T06:28:44.028541Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"--\n",
|
|
"receptive field [690 378 242]=[138 18 2]*[[ 1 1 1]\n",
|
|
" [ 1 2 4]\n",
|
|
" [ 1 4 16]\n",
|
|
" [ 1 6 36]\n",
|
|
" [ 1 8 64]]\n",
|
|
"-.\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"1"
|
|
]
|
|
},
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plot_multi(model_names=[\"deeptime\", \"deeptime2\"],\n",
|
|
" save_paths=[\n",
|
|
" Path(\"storage/experiments/Exchange/96Sshort/repeat=0\"),\n",
|
|
" Path(\"storage/experiments/Exchange/96Splusshort/repeat=0\"),\n",
|
|
" ])\n",
|
|
"1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"id": "9af56ddc",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2022-11-20T06:28:51.826377Z",
|
|
"start_time": "2022-11-20T06:28:51.721432Z"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plot(\"deeptime\", Path(\"storage/experiments/Exchange/96S/repeat=0\"));"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "b1e031e3",
|
|
"metadata": {},
|
|
"source": [
|
|
"- [x] try just one predictor\n",
|
|
" - [ ] multi input, single output\n",
|
|
"- [x] comparem ulti\n",
|
|
"\n",
|
|
"- try logp? nah\n",
|
|
"- mae?\n",
|
|
"- make my own csv with 5m data (maybe 10k rows)\n",
|
|
"- backtest?"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "42214089",
|
|
"metadata": {
|
|
"ExecuteTime": {
|
|
"end_time": "2022-11-20T00:57:32.922740Z",
|
|
"start_time": "2022-11-20T00:57:32.919738Z"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "f59232cc",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "b1d152b2",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"jupytext": {
|
|
"cell_metadata_filter": "-all",
|
|
"main_language": "python",
|
|
"notebook_metadata_filter": "-all"
|
|
},
|
|
"kernelspec": {
|
|
"display_name": "deeptime",
|
|
"language": "python",
|
|
"name": "deeptime"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.8.13"
|
|
},
|
|
"toc": {
|
|
"base_numbering": 1,
|
|
"nav_menu": {},
|
|
"number_sections": true,
|
|
"sideBar": true,
|
|
"skip_h1_title": false,
|
|
"title_cell": "Table of Contents",
|
|
"title_sidebar": "Contents",
|
|
"toc_cell": false,
|
|
"toc_position": {},
|
|
"toc_section_display": true,
|
|
"toc_window_display": false
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|