From 4a24c0116612a1fa25e9a6353800aeb9cb460ed9 Mon Sep 17 00:00:00 2001 From: fabclmnt Date: Tue, 26 Jan 2021 14:48:25 +0000 Subject: [PATCH] feat(ts): Evaluation PCA and TSNE. --- .../TimeGAN_Synthetic_stock_data.ipynb | 223 +++++++++++++++--- src/ydata_synthetic/synthesizers/gan.py | 4 +- 2 files changed, 192 insertions(+), 35 deletions(-) diff --git a/examples/timeseries/TimeGAN_Synthetic_stock_data.ipynb b/examples/timeseries/TimeGAN_Synthetic_stock_data.ipynb index 404db628..17c4dd2b 100644 --- a/examples/timeseries/TimeGAN_Synthetic_stock_data.ipynb +++ b/examples/timeseries/TimeGAN_Synthetic_stock_data.ipynb @@ -63,7 +63,7 @@ "import seaborn as sns\n", "\n", "from ydata_synthetic.preprocessing.timeseries import processed_stock\n", - "from ydata_synthetic.synthesizers.time_series import TimeGAN" + "from ydata_synthetic.synthesizers.timeseries import TimeGAN" ] }, { @@ -132,12 +132,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "997 (24, 6)\n" + "3661 (24, 6)\n" ] } ], "source": [ - "stock_data = processed_stock(seq_len=seq_len)\n", + "stock_data, scaler = processed_stock(seq_len=seq_len)\n", "print(len(stock_data),stock_data[0].shape)\n" ], "metadata": { @@ -168,7 +168,7 @@ " synth = TimeGAN.load('synthesizer_stock.pkl')\n", "else:\n", " synth = TimeGAN(model_parameters=gan_args, hidden_dim=24, seq_len=seq_len, n_seq=n_seq, gamma=1)\n", - " synth.train(stock_data, train_steps=10000)\n", + " synth.train(stock_data, train_steps=50000)\n", " synth.save('synthesizer_stock.pkl')" ], "metadata": { @@ -198,43 +198,198 @@ "name": "stderr", "output_type": "stream", "text": [ - "Synthetic data generation: 0%| | 0/8 [00:00 87\u001B[0;31m _result = pywrap_tfe.TFE_Py_FastPathExecute(\n\u001B[0m\u001B[1;32m 88\u001B[0m \u001B[0m_ctx\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_context_handle\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mtld\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mdevice_name\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m\"CudnnRNN\"\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31m_FallbackException\u001B[0m: Expecting float value for attr dropout, got int", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001B[0;31mUnknownError\u001B[0m Traceback (most recent call last)", - "\u001B[0;32m\u001B[0m in \u001B[0;36m\u001B[0;34m\u001B[0m\n\u001B[0;32m----> 1\u001B[0;31m \u001B[0msynth_data\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0msynth\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0msample\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;36m1000\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 2\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/Documents/YData/github/ydata-synthetic/src/ydata_synthetic/synthesizers/time_series/timegan/model.py\u001B[0m in \u001B[0;36msample\u001B[0;34m(self, n_samples)\u001B[0m\n\u001B[1;32m 277\u001B[0m \u001B[0;32mfor\u001B[0m \u001B[0m_\u001B[0m \u001B[0;32min\u001B[0m \u001B[0mtrange\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0msteps\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdesc\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;34m'Synthetic data generation'\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 278\u001B[0m \u001B[0mZ_\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mnext\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mget_batch_noise\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 279\u001B[0;31m \u001B[0mrecords\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mgenerator\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mZ_\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 280\u001B[0m \u001B[0mdata\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mappend\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mrecords\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 281\u001B[0m \u001B[0;32mreturn\u001B[0m \u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0marray\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mvstack\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mdata\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py\u001B[0m in \u001B[0;36m__call__\u001B[0;34m(self, *args, **kwargs)\u001B[0m\n\u001B[1;32m 966\u001B[0m with base_layer_utils.autocast_context_manager(\n\u001B[1;32m 967\u001B[0m self._compute_dtype):\n\u001B[0;32m--> 968\u001B[0;31m \u001B[0moutputs\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcall\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mcast_inputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m*\u001B[0m\u001B[0margs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 969\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_handle_activity_regularization\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0moutputs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 970\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_set_mask_metadata\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0moutputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0minput_masks\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py\u001B[0m in \u001B[0;36mcall\u001B[0;34m(self, inputs, training, mask)\u001B[0m\n\u001B[1;32m 715\u001B[0m ' implement a `call` method.')\n\u001B[1;32m 716\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 717\u001B[0;31m return self._run_internal_graph(\n\u001B[0m\u001B[1;32m 718\u001B[0m \u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mtraining\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mtraining\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mmask\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mmask\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 719\u001B[0m convert_kwargs_to_constants=base_layer_utils.call_context().saving)\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py\u001B[0m in \u001B[0;36m_run_internal_graph\u001B[0;34m(self, inputs, training, mask, convert_kwargs_to_constants)\u001B[0m\n\u001B[1;32m 886\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 887\u001B[0m \u001B[0;31m# Compute outputs.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 888\u001B[0;31m \u001B[0moutput_tensors\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mlayer\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mcomputed_tensors\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 889\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 890\u001B[0m \u001B[0;31m# Update tensor_dict.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py\u001B[0m in \u001B[0;36m__call__\u001B[0;34m(self, *args, **kwargs)\u001B[0m\n\u001B[1;32m 966\u001B[0m with base_layer_utils.autocast_context_manager(\n\u001B[1;32m 967\u001B[0m self._compute_dtype):\n\u001B[0;32m--> 968\u001B[0;31m \u001B[0moutputs\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcall\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mcast_inputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m*\u001B[0m\u001B[0margs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 969\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_handle_activity_regularization\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0moutputs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 970\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_set_mask_metadata\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0moutputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0minput_masks\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/engine/sequential.py\u001B[0m in \u001B[0;36mcall\u001B[0;34m(self, inputs, training, mask)\u001B[0m\n\u001B[1;32m 275\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0;32mnot\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mbuilt\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 276\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_init_graph_network\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0moutputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mname\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mname\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 277\u001B[0;31m \u001B[0;32mreturn\u001B[0m \u001B[0msuper\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mSequential\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcall\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mtraining\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mtraining\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mmask\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mmask\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 278\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 279\u001B[0m \u001B[0moutputs\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0minputs\u001B[0m \u001B[0;31m# handle the corner case where self.layers is empty\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py\u001B[0m in \u001B[0;36mcall\u001B[0;34m(self, inputs, training, mask)\u001B[0m\n\u001B[1;32m 715\u001B[0m ' implement a `call` method.')\n\u001B[1;32m 716\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 717\u001B[0;31m return self._run_internal_graph(\n\u001B[0m\u001B[1;32m 718\u001B[0m \u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mtraining\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mtraining\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mmask\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mmask\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 719\u001B[0m convert_kwargs_to_constants=base_layer_utils.call_context().saving)\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/engine/network.py\u001B[0m in \u001B[0;36m_run_internal_graph\u001B[0;34m(self, inputs, training, mask, convert_kwargs_to_constants)\u001B[0m\n\u001B[1;32m 886\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 887\u001B[0m \u001B[0;31m# Compute outputs.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 888\u001B[0;31m \u001B[0moutput_tensors\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mlayer\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mcomputed_tensors\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 889\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 890\u001B[0m \u001B[0;31m# Update tensor_dict.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/layers/recurrent.py\u001B[0m in \u001B[0;36m__call__\u001B[0;34m(self, inputs, initial_state, constants, **kwargs)\u001B[0m\n\u001B[1;32m 652\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 653\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0minitial_state\u001B[0m \u001B[0;32mis\u001B[0m \u001B[0;32mNone\u001B[0m \u001B[0;32mand\u001B[0m \u001B[0mconstants\u001B[0m \u001B[0;32mis\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 654\u001B[0;31m \u001B[0;32mreturn\u001B[0m \u001B[0msuper\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mRNN\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m__call__\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 655\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 656\u001B[0m \u001B[0;31m# If any of `initial_state` or `constants` are specified and are Keras\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/engine/base_layer.py\u001B[0m in \u001B[0;36m__call__\u001B[0;34m(self, *args, **kwargs)\u001B[0m\n\u001B[1;32m 966\u001B[0m with base_layer_utils.autocast_context_manager(\n\u001B[1;32m 967\u001B[0m self._compute_dtype):\n\u001B[0;32m--> 968\u001B[0;31m \u001B[0moutputs\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcall\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mcast_inputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m*\u001B[0m\u001B[0margs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m**\u001B[0m\u001B[0mkwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 969\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_handle_activity_regularization\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0moutputs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 970\u001B[0m \u001B[0mself\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_set_mask_metadata\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0moutputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0minput_masks\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/layers/recurrent_v2.py\u001B[0m in \u001B[0;36mcall\u001B[0;34m(self, inputs, mask, training, initial_state)\u001B[0m\n\u001B[1;32m 435\u001B[0m \u001B[0mruntime\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0m_runtime\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0m_RUNTIME_UNKNOWN\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 436\u001B[0m \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 437\u001B[0;31m last_output, outputs, runtime, states = self._defun_gru_call(\n\u001B[0m\u001B[1;32m 438\u001B[0m inputs, initial_state, training, mask, row_lengths)\n\u001B[1;32m 439\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/layers/recurrent_v2.py\u001B[0m in \u001B[0;36m_defun_gru_call\u001B[0;34m(self, inputs, initial_state, training, mask, sequence_lengths)\u001B[0m\n\u001B[1;32m 493\u001B[0m \u001B[0;31m# Under eager context, check the device placement and prefer the\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 494\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0mcan_use_gpu\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 495\u001B[0;31m \u001B[0mlast_output\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0moutputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mnew_h\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mruntime\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mgpu_gru\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m**\u001B[0m\u001B[0mgpu_gru_kwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 496\u001B[0m \u001B[0;32melse\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 497\u001B[0m \u001B[0mlast_output\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0moutputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mnew_h\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mruntime\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mstandard_gru\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m**\u001B[0m\u001B[0mnormal_gru_kwargs\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/keras/layers/recurrent_v2.py\u001B[0m in \u001B[0;36mgpu_gru\u001B[0;34m(inputs, init_h, kernel, recurrent_kernel, bias, mask, time_major, go_backwards, sequence_lengths)\u001B[0m\n\u001B[1;32m 653\u001B[0m \u001B[0;31m# Reverse axis 0 since the input is already convert to time major.\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 654\u001B[0m \u001B[0minputs\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0marray_ops\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mreverse\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0maxis\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m--> 655\u001B[0;31m outputs, h, _, _ = gen_cudnn_rnn_ops.cudnn_rnn(\n\u001B[0m\u001B[1;32m 656\u001B[0m \u001B[0minputs\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0minput_h\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0minit_h\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0minput_c\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mparams\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mparams\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mis_training\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;32mTrue\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 657\u001B[0m rnn_mode='gru')\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/ops/gen_cudnn_rnn_ops.py\u001B[0m in \u001B[0;36mcudnn_rnn\u001B[0;34m(input, input_h, input_c, params, rnn_mode, input_mode, direction, dropout, seed, seed2, is_training, name)\u001B[0m\n\u001B[1;32m 94\u001B[0m \u001B[0;32mexcept\u001B[0m \u001B[0m_core\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_FallbackException\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 95\u001B[0m \u001B[0;32mtry\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 96\u001B[0;31m return cudnn_rnn_eager_fallback(\n\u001B[0m\u001B[1;32m 97\u001B[0m \u001B[0minput\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0minput_h\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0minput_c\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mparams\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mrnn_mode\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mrnn_mode\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 98\u001B[0m \u001B[0minput_mode\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0minput_mode\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdirection\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mdirection\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdropout\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0mdropout\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/ops/gen_cudnn_rnn_ops.py\u001B[0m in \u001B[0;36mcudnn_rnn_eager_fallback\u001B[0;34m(input, input_h, input_c, params, rnn_mode, input_mode, direction, dropout, seed, seed2, is_training, name, ctx)\u001B[0m\n\u001B[1;32m 176\u001B[0m \u001B[0;34m\"direction\"\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdirection\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m\"dropout\"\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mdropout\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m\"seed\"\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mseed\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;34m\"seed2\"\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mseed2\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 177\u001B[0m \"is_training\", is_training)\n\u001B[0;32m--> 178\u001B[0;31m _result = _execute.execute(b\"CudnnRNN\", 4, inputs=_inputs_flat,\n\u001B[0m\u001B[1;32m 179\u001B[0m attrs=_attrs, ctx=ctx, name=name)\n\u001B[1;32m 180\u001B[0m \u001B[0;32mif\u001B[0m \u001B[0m_execute\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mmust_record_gradient\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;32m~/miniconda3/envs/ydata_synth/lib/python3.8/site-packages/tensorflow/python/eager/execute.py\u001B[0m in \u001B[0;36mquick_execute\u001B[0;34m(op_name, num_outputs, inputs, attrs, ctx, name)\u001B[0m\n\u001B[1;32m 57\u001B[0m \u001B[0;32mtry\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 58\u001B[0m \u001B[0mctx\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mensure_initialized\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 59\u001B[0;31m tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,\n\u001B[0m\u001B[1;32m 60\u001B[0m inputs, attrs, num_outputs)\n\u001B[1;32m 61\u001B[0m \u001B[0;32mexcept\u001B[0m \u001B[0mcore\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0m_NotOkStatusException\u001B[0m \u001B[0;32mas\u001B[0m \u001B[0me\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mUnknownError\u001B[0m: Fail to find the dnn implementation. [Op:CudnnRNN]" + "name": "stdout", + "output_type": "stream", + "text": [ + "(3712, 24, 6)\n" ] } ], "source": [ - "synth_data = synth.sample(1000)\n" + "synth_data = synth.sample(len(stock_data))\n", + "print(synth_data.shape)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 8, + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": "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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#Reshaping the data\n", + "cols = ['Open','High','Low','Close','Adj Close','Volume']\n", + "\n", + "#Plotting some generated samples. Both Synthetic and Original data are still standartized with values between [0,1]\n", + "fig, axes = plt.subplots(nrows=3, ncols=2, figsize=(15, 10))\n", + "axes=axes.flatten()\n", + "\n", + "time = list(range(1,25))\n", + "obs = np.random.randint(len(stock_data))\n", + "\n", + "for j, col in enumerate(cols):\n", + " df = pd.DataFrame({'Real': stock_data[obs][:, j],\n", + " 'Synthetic': synth_data[obs][:, j]})\n", + " df.plot(ax=axes[j],\n", + " title = col,\n", + " secondary_y='Synthetic data', style=['-', '--'])\n", + "fig.tight_layout()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "#### Evaluation of the generated synthetic data (PCA and TSNE)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%% md\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 37, + "outputs": [], + "source": [ + "from sklearn.decomposition import PCA\n", + "from sklearn.manifold import TSNE\n", + "\n", + "sample_size = 250\n", + "idx = np.random.permutation(len(stock_data))[:sample_size]\n", + "\n", + "real_sample = np.asarray(stock_data)[idx]\n", + "synthetic_sample = np.asarray(synth_data)[idx]\n", + "\n", + "#for the purpose of comparision we need the data to be 2-Dimensional. For that reason we are going to use only two componentes for both the PCA and TSNE.\n", + "synth_data_reduced = real_sample.reshape(-1, seq_len)\n", + "stock_data_reduced = np.asarray(synthetic_sample).reshape(-1,seq_len)\n", + "\n", + "n_components = 2\n", + "pca = PCA(n_components=n_components)\n", + "tsne = TSNE(n_components=n_components, n_iter=300)\n", + "\n", + "#The fit of the methods must be done only using the real sequential data\n", + "pca.fit(stock_data_reduced)\n", + "\n", + "pca_real = pd.DataFrame(pca.transform(stock_data_reduced))\n", + "pca_synth = pd.DataFrame(pca.transform(synth_data_reduced))\n", + "\n", + "data_reduced = np.concatenate((stock_data_reduced, synth_data_reduced), axis=0)\n", + "tsne_results = pd.DataFrame(tsne.fit_transform(data_reduced))" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 38, + "outputs": [ + { + "data": { + "text/plain": "Text(0.5, 0.98, 'Validating synthetic vs real data diversity and distributions')" + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": "
", + "image/png": "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\n" + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#The scatter plots for PCA and TSNE methods\n", + "import matplotlib.gridspec as gridspec\n", + "fig = plt.figure(constrained_layout=True, figsize=(20,10))\n", + "spec = gridspec.GridSpec(ncols=2, nrows=1, figure=fig)\n", + "\n", + "#TSNE scatter plot\n", + "ax = fig.add_subplot(spec[0,0])\n", + "ax.set_title('PCA results',\n", + " fontsize=20,\n", + " color='red',\n", + " pad=10)\n", + "\n", + "#PCA scatter plot\n", + "plt.scatter(pca_real.iloc[:, 0].values, pca_real.iloc[:,1].values,\n", + " c='black', alpha=0.2, label='Original')\n", + "plt.scatter(pca_synth.iloc[:,0], pca_synth.iloc[:,1],\n", + " c='red', alpha=0.2, label='Synthetic')\n", + "\n", + "ax2 = fig.add_subplot(spec[0,1])\n", + "ax2.set_title('TSNE results',\n", + " fontsize=20,\n", + " color='red',\n", + " pad=10)\n", + "\n", + "plt.scatter(tsne_results.iloc[:sample_size, 0].values, tsne_results.iloc[:sample_size,1].values,\n", + " c='black', alpha=0.2, label='Original')\n", + "plt.scatter(tsne_results.iloc[sample_size:,0], tsne_results.iloc[sample_size:,1],\n", + " c='red', alpha=0.2, label='Synthetic')\n", + "\n", + "fig.suptitle('Validating synthetic vs real data diversity and distributions',\n", + " fontsize=16,\n", + " color='grey')" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 11, + "outputs": [ + { + "data": { + "text/plain": "GridSpec(1, 2)[0:1, 1:2]" + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "spec[0,1]\n" ], "metadata": { "collapsed": false, diff --git a/src/ydata_synthetic/synthesizers/gan.py b/src/ydata_synthetic/synthesizers/gan.py index f751f7e9..e2e80395 100644 --- a/src/ydata_synthetic/synthesizers/gan.py +++ b/src/ydata_synthetic/synthesizers/gan.py @@ -2,7 +2,6 @@ from joblib import dump, load import pandas as pd import tensorflow as tf -from tensorflow.keras.models import model_from_json from ydata_synthetic.synthesizers.saving_keras import make_keras_picklable class Model(): @@ -54,5 +53,8 @@ def save(self, path): @classmethod def load(cls, path): + physical_devices = tf.config.list_physical_devices('GPU') + tf.config.experimental.set_memory_growth(physical_devices[0], enable=True) + synth = load(path) return synth