example_usage.ipynb

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    "## A Simple Example for Training with Attribution Priors\n",
    "This notebook is an example notebook for how to train with attribution priors. It defines some very simple, simulated data, and trains a small neural network to learn from that data. In the process, it shows how to regularize the neural network not to look at a specific feature using attribution priors. Although this particular example is very simple, attribution priors can be extended to more complex and useful penalties."
   ]
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   "cell_type": "code",
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   "source": [
    "import tensorflow as tf\n",
    "import numpy as np\n",
    "import shap\n",
    "import pandas as pd\n",
    "import altair as alt\n",
    "import scipy.stats as stats\n",
    "from attributionpriors.ops import AttributionPriorExplainer"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "### First we need to generate some random data to learn from\n",
    "- The data will have 1000 samples and 3 features.\n",
    "- The outcome $y$ will be continuous, $y = x_{0} - x_{1} + \\epsilon$ where $\\epsilon \\sim N(0, 0.5)$\n",
    "- The 3rd feature $x_{2}$ is a dummy feature, $x_2 = x_0 + N(0, 0.5)$"
   ]
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   "cell_type": "code",
   "execution_count": 2,
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   "source": [
    "#Generate some random features\n",
    "feature_mean = 0.0\n",
    "feature_sigma = 1.0\n",
    "N = 1000\n",
    "d = 3\n",
    "X = np.random.randn(N, d) * feature_sigma + feature_mean\n",
    "X[:, 2] = X[:, 0] + np.random.randn(N) * 0.5"
   ]
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   "cell_type": "code",
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   "source": [
    "outcome_mean = 0.0\n",
    "outcome_sigma = 0.5\n",
    "Y = X[:, 0] - X[:, 1] + np.random.randn(N) * outcome_sigma + outcome_mean\n",
    "Y = np.reshape(Y, (1000, 1))"
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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.DataFrame({'Feature 0': X[:, 0], 'Feature 1': X[:, 1], 'Feature 2': X[:, 2], 'Outcome': Y.squeeze()})\n",
    "alt.Chart(data).mark_point(filled=True).encode(\n",
    "    x=alt.X(alt.repeat('column'), type='quantitative', scale=alt.Scale(domain=[-4, 4])),\n",
    "    y=alt.Y('Outcome:Q', scale=alt.Scale(domain=[-6, 6]))\n",
    ").properties(\n",
    "    height=200,\n",
    "    width=200\n",
    ").repeat(\n",
    "    column=['Feature 0', 'Feature 1', 'Feature 2']\n",
    ").properties(\n",
    "    title='The relationship between the outcome and the three features in our simulated data'\n",
    ").configure_axis(\n",
    "    labelFontSize=15,\n",
    "    labelFontWeight=alt.FontWeight('lighter'),\n",
    "    titleFontSize=15,\n",
    "    titleFontWeight=alt.FontWeight('normal')\n",
    ").configure_title(\n",
    "    fontSize=18\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Splits + Data API\n",
    "Now we have some code to split the data into different chunks, and read it in."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_dataset(X, Y, batch_size, shuffle=True, buffer_size=100):\n",
    "    dataset = tf.data.Dataset.from_tensor_slices((X, Y))\n",
    "    if shuffle:\n",
    "        dataset = dataset.shuffle(buffer_size)\n",
    "    dataset = dataset.batch(batch_size)\n",
    "    return dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "index_order = np.random.permutation(N)\n",
    "indices_train = index_order[:800]\n",
    "indices_vald  = index_order[800:900]\n",
    "indices_test  = index_order[900:]\n",
    "\n",
    "batch_size=20\n",
    "train_set = make_dataset(X[indices_train, :], Y[indices_train], batch_size=batch_size, shuffle=True, buffer_size=800)\n",
    "train_set = train_set.repeat(15)\n",
    "vald_set  = make_dataset(X[indices_vald, :],  Y[indices_vald],  batch_size=100, shuffle=False)\n",
    "test_set  = make_dataset(X[indices_test, :],  Y[indices_test],  batch_size=100, shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "handle = tf.placeholder(tf.string, shape=[])\n",
    "iterator = tf.data.Iterator.from_string_handle(\n",
    "    handle, train_set.output_types, train_set.output_shapes)\n",
    "x_pl, y_true = iterator.get_next()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_iter = train_set.make_initializable_iterator()\n",
    "vald_iter  = vald_set.make_initializable_iterator()\n",
    "test_iter  = test_set.make_initializable_iterator()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "config = tf.ConfigProto()\n",
    "config.gpu_options.allow_growth=True\n",
    "sess = tf.Session(config=config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_handle = sess.run(train_iter.string_handle())\n",
    "vald_handle  = sess.run(vald_iter.string_handle())\n",
    "test_handle  = sess.run(test_iter.string_handle())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now lets build a model\n",
    "We will use a simple neural network with one hidden layer, and 5 hidden units."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model(x_pl):\n",
    "    hidden_units = tf.layers.Dense(5, activation=tf.nn.relu, use_bias=True)(x_pl)\n",
    "    output = tf.layers.Dense(1, activation=None, use_bias=False)(hidden_units)\n",
    "    return output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def logits_accuracy(labels, logits):\n",
    "    correct_prediction = tf.equal(tf.cast(tf.argmax(logits, 1), tf.int32), labels)\n",
    "    accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32))\n",
    "    return accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We use the API provided by wrapping our input using an `AttributionPriorExplainer` object, as explained\n",
    "in the README file of this repository."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "explainer = AttributionPriorExplainer()\n",
    "cond_input_op, train_eg = explainer.input_to_samples_delta(x_pl)\n",
    "y_pred = model(cond_input_op)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "expected_grads_op = explainer.shap_value_op(y_pred, cond_input_op, tf.squeeze(y_true))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can verify that our expected gradients operation is the same shape\n",
    "as our input, because it should provide attributions for each feature in each batch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tf.Tensor 'expected_grads:0' shape=(?, 3) dtype=float64>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expected_grads_op"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Losses\n",
    "We will use our standard mean squared error on the labels. As an attribution prior, we also penalize the squared\n",
    "magnitude of feature importance on the last feature. This will encourage our model not to use that last feature, which we know is a dummy feature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "mse_op = tf.losses.mean_squared_error(y_true, y_pred)\n",
    "train_op = tf.train.GradientDescentOptimizer(learning_rate=0.01).minimize(mse_op)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "weights = np.array([0.0, 0.0, 1.0]).reshape(3, 1)\n",
    "tf_weights = tf.constant(weights, dtype=tf.float32)\n",
    "weighted_squared_loss = tf.matmul(tf.square(tf.cast(expected_grads_op, tf.float32)), tf_weights)\n",
    "weighted_squared_loss = tf.squeeze(weighted_squared_loss, axis=1)\n",
    "mean_weighted_squared_loss = tf.reduce_mean(weighted_squared_loss, name='mean_weighted_squared_loss')\n",
    "\n",
    "reg_lambda = tf.constant(30.0, dtype=tf.float32)\n",
    "reg_loss_op   = mean_weighted_squared_loss * reg_lambda\n",
    "\n",
    "train_eg_op = tf.train.GradientDescentOptimizer(learning_rate=0.01).minimize(reg_loss_op)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(use_ap):\n",
    "    sess.run(tf.global_variables_initializer())\n",
    "    sess.run(train_iter.initializer)\n",
    "    #One pass through the data:\n",
    "    i = 0\n",
    "    steps = []\n",
    "    validation_losses = []\n",
    "    while True:\n",
    "        try:\n",
    "            batch_input, batch_labels, _ = sess.run([cond_input_op, y_true, train_op], feed_dict={handle: train_handle})\n",
    "            if use_ap:\n",
    "                sess.run(train_eg_op, feed_dict={handle: train_handle, \n",
    "                                                 train_eg: True,\n",
    "                                                 x_pl: batch_input,\n",
    "                                                 y_true: batch_labels})\n",
    "            i += 1\n",
    "            if i % 10 == 0:\n",
    "                sess.run(vald_iter.initializer)\n",
    "                vald_loss = sess.run(mse_op, feed_dict={handle: vald_handle})\n",
    "                validation_losses.append(vald_loss)\n",
    "                steps.append(i)\n",
    "        except tf.errors.OutOfRangeError:\n",
    "            break\n",
    "            \n",
    "    sess.run(test_iter.initializer)\n",
    "    test_loss= sess.run(mse_op, feed_dict={handle: test_handle})\n",
    "    \n",
    "    print('Test MSE: {:.4f}'.format(test_loss))\n",
    "    explainer = shap.GradientExplainer((cond_input_op, y_pred), X, sess)\n",
    "    shap_values = explainer.shap_values(X, nsamples=200)\n",
    "    shap.summary_plot(shap_values[0], X)\n",
    "    \n",
    "    sess.run(test_iter.initializer)\n",
    "    y_pred_test, y_true_test = sess.run([y_pred, y_true], feed_dict = {handle: test_handle})\n",
    "    \n",
    "    data = pd.DataFrame({\n",
    "        'Iteration': steps,\n",
    "        'Validation Loss': validation_losses\n",
    "    })\n",
    "    return alt.Chart(data).mark_line().encode(alt.X('Iteration:Q'), alt.Y('Validation Loss:Q', scale=alt.Scale(domain=[0.0, 2.5])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training without an attribution prior\n",
    "First, we train without an attribution prior. The neural network mostly focuses on $x_0$ and $x_1$, but it also uses $x_2$ to make predictions, even though all the information contained in $x_2$ is already contained in $x_0$. We visualize the feature importances using the SHAP package."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test MSE: 0.2576\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 576x194.4 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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       "$schema": "https://vega.github.io/schema/vega-lite/v3.2.1.json",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
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       },
       "data": {
        "name": "data-0008f5897ff0d8afff72bf89394a1d18"
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       "datasets": {
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          "Iteration": 440,
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         {
          "Iteration": 450,
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         {
          "Iteration": 460,
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         {
          "Iteration": 470,
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         {
          "Iteration": 480,
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         {
          "Iteration": 490,
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         {
          "Iteration": 500,
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         {
          "Iteration": 510,
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         {
          "Iteration": 520,
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         {
          "Iteration": 530,
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         {
          "Iteration": 540,
          "Validation Loss": 0.30705320835113525
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         {
          "Iteration": 550,
          "Validation Loss": 0.3030298352241516
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         {
          "Iteration": 560,
          "Validation Loss": 0.30284154415130615
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         {
          "Iteration": 570,
          "Validation Loss": 0.3027493953704834
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         {
          "Iteration": 580,
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         {
          "Iteration": 590,
          "Validation Loss": 0.30566179752349854
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         {
          "Iteration": 600,
          "Validation Loss": 0.3053508698940277
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        ]
       },
       "encoding": {
        "x": {
         "field": "Iteration",
         "type": "quantitative"
        },
        "y": {
         "field": "Validation Loss",
         "scale": {
          "domain": [
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          ]
         },
         "type": "quantitative"
        }
       },
       "mark": "line"
      },
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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train(use_ap=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training with an attribution prior\n",
    "Now we train with an attribution prior that pushes the model not to use $x_2$. In this case, the model no longer relies on $x_2$ and performs as well if not better than the previous model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test MSE: 0.2378\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 576x194.4 with 2 Axes>"
      ]
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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train(use_ap=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Close the session\n",
    "Don't forget to close the TensorFlow session when we are done!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "sess.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}