diff --git a/docs/Tutorial_Consensus_Motif.ipynb b/docs/Tutorial_Consensus_Motif.ipynb new file mode 100644 index 000000000..74518c808 --- /dev/null +++ b/docs/Tutorial_Consensus_Motif.ipynb @@ -0,0 +1,451 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Consensus motif search\n", + "Matrix profiles (MP) can be used to find conserved structure within a single time series (self-join) and across two time series (AB-join). When considering sets of more than two time series one trick is to concatenate all time series (individual series edge-marked by `np.nan`) and doing a self-join MP. However, this is not guaranteed to find patterns that are conserved across *all* time series in the set. This idea of a motif common to all time series in a set is called **consensus motif**.\n", + "In this tutorial we will use the so called *Ostinato* algorithm which is an efficient way to find the consensus motif." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Getting started\n", + "Some boilerplate code for getting data, mathematical operations and plotting." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "\n", + "import stumpy\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "from itertools import cycle, combinations\n", + "from matplotlib.patches import Rectangle\n", + "from scipy.cluster.hierarchy import linkage, dendrogram\n", + "from scipy.special import comb" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# Set figures to 20 by 6 inches\n", + "fig_size = plt.rcParams[\"figure.figsize\"]\n", + "fig_size[0] = 20\n", + "fig_size[1] = 6\n", + "plt.rcParams[\"figure.figsize\"] = fig_size\n", + "plt.rcParams['xtick.direction'] = 'out'\n", + "\n", + "# Japanese characters in first example\n", + "plt.rcParams['mathtext.fontset'] = 'custom'\n", + "plt.rcParams['mathtext.bf'] = 'Noto Sans CJK JP:black'\n", + "plt.rcParams['mathtext.cal'] = 'Noto Sans CJK JP:normal'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Eye-tracking (EOG) data\n", + "In the following data set a volunteer spelled out different Japanese sentences by performing eye movements that represented individual characters. Eye movements were recorded by an electrooculograph. For our purposes we're just using the vertical positions. We're conceptually reproducing figures 1 and 2 of the [consensus motif paper](https://www.cs.ucr.edu/~eamonn/consensus_Motif_ICDM_Long_version.pdf)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve the data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "snt_oi = [6, 7, 9, 10, 16, 24]\n", + "eye = [None] * len(snt_oi)\n", + "fs = 50 # eog signal was downsampled to 50 Hz\n", + " \n", + "for i, s in enumerate(snt_oi):\n", + " eye[i] = pd.read_csv(f'https://zenodo.org/record/4288978/files/EOG_001_01_{s:03d}.csv?download=1').iloc[:, 0].values\n", + " \n", + "# the literal sentences\n", + "sentences = pd.read_csv(f'https://zenodo.org/record/4288978/files/test_sent.jp.csv?download=1', index_col=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot the data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def plot_vertical_eog(): \n", + " fig, ax = plt.subplots(6, sharex=True, sharey=True)\n", + " prop_cycle = plt.rcParams['axes.prop_cycle']\n", + " colors = cycle(prop_cycle.by_key()['color'])\n", + " for i, e in enumerate(eye):\n", + " ax[i].plot(np.arange(0, len(e)) / fs, e, color=next(colors))\n", + " ax[i].set_ylim((-330, 1900))\n", + " plt.subplots_adjust(hspace=0)\n", + " plt.xlabel('time [s]')\n", + " return ax\n", + "\n", + "plot_vertical_eog()\n", + "plt.suptitle('Vertical eye position while spelling different sentences', fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Above we plotted six time series that each represent the vertical eye position while a person spelled sentences using their eyes.\n", + "\n", + "### Consensus motif search\n", + "What is the 1 second long pattern that is common across these six time series? To find out, we use `stumpy.ostinato`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found best radius 0.87 in time series 4 starting at index location 1271.\n" + ] + } + ], + "source": [ + "m = fs\n", + "rad, tsidx, ssidx = stumpy.ostinato(eye, m)\n", + "print(f'Found best radius {np.round(rad, 2)} in time series {tsidx} starting at index location {ssidx}.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's plot the corresponding matches in the individual time series." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "seed_motif = eye[tsidx][ssidx:ssidx+m]\n", + "x = np.linspace(0,1,50)\n", + "nn = np.zeros(len(eye), dtype=int)\n", + "nn[tsidx] = ssidx\n", + "for i, e in enumerate(eye):\n", + " if i != tsidx:\n", + " nn[i] = np.argmin(stumpy.core.mass(seed_motif, e))\n", + " lw = 1\n", + " label = None\n", + " else:\n", + " lw = 4\n", + " label = 'seed motif'\n", + " plt.plot(x, e[nn[i]:nn[i]+m], lw=lw, label=label)\n", + "plt.title('The consensus motif')\n", + "plt.xlabel('time [s]')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is a striking similarity between the subsequences. The most central seed motif is plotted with a thicker line.\n", + "\n", + "Highlighting the motifs in context we see that they occur at different times. The discovered pattern corresponds to the Japanese character ア which occurs at different positions of the example sentences (see the sentences in the top left corners of the subplots)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = plot_vertical_eog()\n", + "sentences_example = sentences.loc[snt_oi].values\n", + "for i in range(len(eye)):\n", + " y = ax[i].get_ylim()\n", + " r = Rectangle((nn[i] / fs, y[0]), 1, y[1]-y[0], alpha=0.3)\n", + " ax[i].add_patch(r)\n", + " this_sentence = sentences_example[i]\n", + " ax[i].text(-2.1,\n", + " 1900, \n", + " this_sentence[0].replace('ア', '$\\\\bf{ア}$'),\n", + " fontname = 'Noto Sans CJK JP',\n", + " ha='left',\n", + " va='top',\n", + " fontsize=13, \n", + " bbox={'color': 'whitesmoke', 'alpha': 0.8, 'pad': 0},\n", + " zorder=2)\n", + "plt.suptitle('Vertical eye position while spelling different sentences with a matching character', fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Phylogeny using mitochondrial DNA (mtDNA)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[Mitochondrial DNA (mtDNA)](https://en.wikipedia.org/wiki/Mitochondrial_DNA) has been successfully used to figure out evolutionary relationships of organisms (phylogeny). Since DNAs are essentially ordered sequences of letters we can treat them as time series and use all the available time series tools. Here we will reproduce figure 9 of [consensus motif paper](https://www.cs.ucr.edu/~eamonn/consensus_Motif_ICDM_Long_version.pdf)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Retrieve the data" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "animals = ['python', 'hippo', 'red_flying_fox', 'alpaca']\n", + "data = {}\n", + "for animal in animals:\n", + " data[animal] = pd.read_csv(f\"https://zenodo.org/record/4289120/files/{animal}.csv?download=1\").iloc[:,0].values\n", + " \n", + "colors = {'python': 'tab:blue', 'hippo': 'tab:green', 'red_flying_fox': 'tab:purple', 'alpaca': 'tab:red'}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Clustering using the majority of mtDNA sequences\n", + "Using `scipy.cluster.hierarchy` we can naively cluster the mtDNAs based on the majority of the sequences. \n", + "A correct clustering would place the two _artiodactyla_ hippo and alpaca closest. Together with the red flying fox they should form a cluster of mammals. Finally, the python, a reptile, should be furthest away from all of the mammals." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(ncols=2)\n", + "\n", + "# sequences in Fig 9 left\n", + "truncate = 15000\n", + "for k, v in data.items():\n", + " ax[0].plot(v[:truncate], label=k, color=colors[k])\n", + "ax[0].legend()\n", + "ax[0].set_xlabel('number of base pairs')\n", + "ax[0].set_title('mtDNA sequences')\n", + "\n", + "# clustering in Fig 9 left\n", + "truncate = 16000\n", + "dp = np.zeros(int(comb(4, 2)))\n", + "for i, a_c in enumerate(combinations(data.keys(), 2)):\n", + " dp[i] = stumpy.core.mass(data[a_c[0]][:truncate], data[a_c[1]][:truncate])\n", + "Z = linkage(dp, optimal_ordering=True)\n", + "dendrogram(Z, labels=[k for k in data.keys()], ax=ax[1])\n", + "ax[1].set_ylabel('standardised euclidean distance')\n", + "ax[1].set_title('clustering')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The clustering is clearly wrong. Amongst other problems, the alpaca (a mammal) is not most closely related to the python (a reptile).\n", + "\n", + "### Consensus motif search\n", + "In order to obtain the correct relationships, we need to compare the motif that is most conserved across the mtDNA sequences. Let's take a window of 1000 base pairs." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found best radius 2.73 in time series 1 starting at index location 602.\n" + ] + } + ], + "source": [ + "m = 1000\n", + "rad, tsidx, ssidx = stumpy.ostinato(list(data.values()), m)\n", + "print(f'Found best radius {np.round(rad, 2)} in time series {tsidx} starting at index location {ssidx}.')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Get the consensus motifs and perform clustering on them." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "consensus_motifs = {}\n", + "best_motif = list(data.items())[tsidx][1][ssidx:ssidx+m]\n", + "for i, (k, v) in enumerate(data.items()):\n", + " if i == tsidx:\n", + " consensus_motifs[k] = best_motif\n", + " else:\n", + " ind = np.argmin(stumpy.core.mass(best_motif, v))\n", + " consensus_motifs[k] = v[ind:ind+m]\n", + "\n", + " \n", + "fig, ax = plt.subplots(ncols=2)\n", + "# plot the consensus motifs\n", + "for animal, motif in consensus_motifs.items():\n", + " ax[0].plot(motif, label=animal, color=colors[animal])\n", + "ax[0].legend()\n", + "# cluster consensus motifs\n", + "dp = np.zeros(int(comb(4, 2)))\n", + "for i, motif in enumerate(combinations(list(consensus_motifs.values()), 2)):\n", + " dp[i] = stumpy.core.mass(motif[0], motif[1])\n", + "Z = linkage(dp, optimal_ordering=True)\n", + "dendrogram(Z, labels=[k for k in consensus_motifs.keys()])\n", + "\n", + "ax[0].set_title('consensus motifs')\n", + "ax[0].set_xlabel('number of base pairs')\n", + "ax[1].set_title('clustering on the consensus motifs')\n", + "ax[1].set_ylabel('standardised euclidean distance')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now this looks much better! The python is far away from the others. Amongst the mammalia the red flying fox (a bat) is less related to both the alpaca and the hippo which are the closest evolutionary relatives in this set of animals." + ] + } + ], + "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": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/stumpy/__init__.py b/stumpy/__init__.py index 866314333..4731cb1eb 100644 --- a/stumpy/__init__.py +++ b/stumpy/__init__.py @@ -19,6 +19,7 @@ from .aampi import aampi # noqa: F401 from .chains import atsc, allc # noqa: F401 from .floss import floss, fluss, _nnmark, _iac, _cac, _rea # noqa: F401 +from .ostinato import ostinato # noqa: F401 from .scrump import scrump # noqa: F401 from .stumpi import stumpi # noqa: F401 from numba import cuda diff --git a/stumpy/core.py b/stumpy/core.py index aaf00a977..769dd3ec2 100644 --- a/stumpy/core.py +++ b/stumpy/core.py @@ -4,6 +4,7 @@ import numpy as np from numba import njit, prange +from scipy.signal import convolve import tempfile import math @@ -265,7 +266,7 @@ def sliding_dot_product(Q, T): n = T.shape[0] m = Q.shape[0] Qr = np.flipud(Q) # Reverse/flip Q - QT = np.convolve(Qr, T) + QT = convolve(Qr, T) return QT.real[m - 1 : n] diff --git a/stumpy/ostinato.py b/stumpy/ostinato.py new file mode 100644 index 000000000..a369b18c3 --- /dev/null +++ b/stumpy/ostinato.py @@ -0,0 +1,267 @@ +import numpy as np +from . import core, stump + + +def ostinato(tss, m): + """ + Find the consensus motif of multiple time series + + This is a wrapper around the vanilla version of the ostinato algorithm + which finds the best radius and a helper function that finds the most + central conserved motif. + + Parameters + ---------- + tss : list + List of time series for which to find the consensus motif + + m : int + Window size + + Returns + ------- + rad : float + Radius of the most central consensus motif + + ts_ind : int + Index of time series which contains the most central consensus motif + + ss_ind : int + Start index of the most central consensus motif within the time series + `ts_ind` that contains it + + Notes + ----- + + + See Table 2 + + The ostinato algorithm proposed in the paper finds the best radius + in `tss`. Intuitively, the radius is the minimum distance of a + subsequence to encompass at least one nearest neighbor subsequence + from all other time series. The best radius in `tss` is the minimum + radius amongst all radii. Some data sets might contain multiple + subsequences which have the same optimal radius. + The greedy Ostinato algorithm only finds one of them, which might + not be the most central motif. The most central motif amongst the + subsequences with the best radius is the one with the smallest mean + distance to nearest neighbors in all other time series. To find this + central motif it is necessary to search the subsequences with the + best radius via `stumpy.ostinato._get_central_motif` + """ + rad, ts_ind, ss_ind = _ostinato(tss, m) + return _get_central_motif(tss, rad, ts_ind, ss_ind, m) + + +def _ostinato(tss, m): + """ + Find the consensus motif of multiple time series + + Parameters + ---------- + tss : list + List of time series for which to find the consensus motif + + m : int + Window size + + Returns + ------- + bsf_rad : float + Radius of the consensus motif + + ts_ind : int + Index of time series which contains the consensus motif + + ss_ind : int + Start index of consensus motif within the time series ts_ind + that contains it + + Notes + ----- + + + See Table 2 + + The ostinato algorithm proposed in the paper finds the best radius + in `tss`. Intuitively, the radius is the minimum distance of a + subsequence to encompass at least one nearest neighbor subsequence + from all other time series. The best radius in `tss` is the minimum + radius amongst all radii. Some data sets might contain multiple + subsequences which have the same optimal radius. + The greedy Ostinato algorithm only finds one of them, which might + not be the most central motif. The most central motif amongst the + subsequences with the best radius is the one with the smallest mean + distance to nearest neighbors in all other time series. To find this + central motif it is necessary to search the subsequences with the + best radius via `stumpy.ostinato._get_central_motif` + """ + # Preprocess means and stddevs and handle np.nan/np.inf + Ts = [None] * len(tss) + M_Ts = [None] * len(tss) + Σ_Ts = [None] * len(tss) + for i, T in enumerate(tss): + Ts[i], M_Ts[i], Σ_Ts[i] = core.preprocess(T, m) + + bsf_rad, ts_ind, ss_ind = np.inf, 0, 0 + k = len(Ts) + for j in range(k): + if j < (k - 1): + h = j + 1 + else: + h = 0 + + mp = stump(Ts[j], m, Ts[h], ignore_trivial=False) + si = np.argsort(mp[:, 0]) + for q in si: + rad = mp[q, 0] + if rad >= bsf_rad: + break + for i in range(k): + if ~np.isin(i, [j, h]): + QT = core.sliding_dot_product(Ts[j][q : q + m], Ts[i]) + rad = np.max( + ( + rad, + np.min( + core._mass( + Ts[j][q : q + m], + Ts[i], + QT, + M_Ts[j][q], + Σ_Ts[j][q], + M_Ts[i], + Σ_Ts[i], + ) + ), + ) + ) + if rad >= bsf_rad: + break + if rad < bsf_rad: + bsf_rad, ts_ind, ss_ind = rad, j, q + + return bsf_rad, ts_ind, ss_ind + + +def _get_central_motif(tss, rad, ts_ind, ss_ind, m): + """ + Compare subsequences with the same radius and return the most central motif + + Parameters + ---------- + tss : list + List of time series for which to find the most central motif + + rad : float + Best radius found by a consensus search algorithm + + ts_ind : int + Index of time series in which `rad` was found first + + ss_ind : int + Start index of subsequence in `ts_ind` that has radius `rad` + + m : int + Window size + + Returns + ------- + rad : float + Radius of the most central consensus motif + + ts_ind : int + Index of time series which contains the most central consensus motif + + ss_ind : int + Start index of most central consensus motif within the time series `ts_ind` + that contains it + + Notes + ----- + + + See Table 2 + + The ostinato algorithm proposed in the paper finds the best radius + in `tss`. Intuitively, the radius is the minimum distance of a + subsequence to encompass at least one nearest neighbor subsequence + from all other time series. The best radius in `tss` is the minimum + radius amongst all radii. Some data sets might contain multiple + subsequences which have the same optimal radius. + The greedy Ostinato algorithm only finds one of them, which might + not be the most central motif. The most central motif amongst the + subsequences with the best radius is the one with the smallest mean + distance to nearest neighbors in all other time series. To find this + central motif it is necessary to search the subsequences with the + best radius via `stumpy.ostinato._get_central_motif` + """ + k = len(tss) + + # Ostinato hit: get nearest neighbors' distances and indices + q_ost = tss[ts_ind][ss_ind : ss_ind + m] + ss_ind_nn_ost, d_ost = _across_series_nearest_neighbors(q_ost, tss) + + # Alternative candidates: Distance to ostinato hit equals best radius + ts_ind_alt = np.flatnonzero(np.isclose(d_ost, rad)) + ss_ind_alt = ss_ind_nn_ost[ts_ind_alt] + d_alt = np.zeros((len(ts_ind_alt), k), dtype=float) + for i, (tsi, ssi) in enumerate(zip(ts_ind_alt, ss_ind_alt)): + q = tss[tsi][ssi : ssi + m] + _, d_alt[i] = _across_series_nearest_neighbors(q, tss) + rad_alt = np.max(d_alt, axis=1) + d_mean_alt = np.mean(d_alt, axis=1) + + # Alternatives with same radius and lower mean distance + alt_better = np.logical_and( + np.isclose(rad_alt, rad), + d_mean_alt < d_ost.mean(), + ) + # Alternatives with same radius and same mean distance + alt_same = np.logical_and( + np.isclose(rad_alt, rad), + np.isclose(d_mean_alt, d_ost.mean()), + ) + if np.any(alt_better): + ts_ind_alt = ts_ind_alt[alt_better] + d_mean_alt = d_mean_alt[alt_better] + i_alt_best = np.argmin(d_mean_alt) + ts_ind = ts_ind_alt[i_alt_best] + elif np.any(alt_same): + # Default to the first match in the list of time series + ts_ind_alt = ts_ind_alt[alt_same] + i_alt_first = np.argmin(ts_ind_alt) + ts_ind = np.min((ts_ind, ts_ind_alt[i_alt_first])) + ss_ind = ss_ind_nn_ost[ts_ind] + return rad, ts_ind, ss_ind + + +def _across_series_nearest_neighbors(q, tss): + """ + For multiple time series find, per individual time series, the subsequences closest + to a query. + + Parameters + ---------- + q : ndarray + Query array or subsequence + + tss : list + List of time series for which to the nearest neighbors to `q` + + Returns + ------- + ss_ind_nn : ndarray + Indices to subsequences in `tss` that are closest to `q` + + d : ndarray + Distances to subsequences in `tss` that are closest to `q` + """ + k = len(tss) + d = np.zeros(k, dtype=float) + ss_ind_nn = np.zeros(k, dtype=int) + for i in range(k): + dp = core.mass(q, tss[i]) + ss_ind_nn[i] = np.argmin(dp) + d[i] = dp[ss_ind_nn[i]] + return ss_ind_nn, d diff --git a/test.sh b/test.sh index e9b44babd..da5fb9196 100755 --- a/test.sh +++ b/test.sh @@ -13,7 +13,7 @@ if [ $# -gt 0 ]; then else echo "Using default test_mode=\"all\"" fi -fi +fi ############### # Functions # @@ -63,11 +63,11 @@ test_unit() check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stump.py tests/test_mstump.py tests/test_scrump.py tests/test_stumpi.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_one_constant_subsequence.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_one_constant_subsequence.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_two_constant_subsequences.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_two_constant_subsequences.py check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_two_constant_subsequences_swap.py check_errs $? @@ -87,7 +87,7 @@ test_unit() check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_stumped_two_subsequences_nan_inf_A_B_join_swap.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_mstumped.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_mstumped.py check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_mstumped_one_subsequence_nan_self_join.py check_errs $? @@ -99,9 +99,9 @@ test_unit() check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_one_constant_subsequence.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_one_constant_subsequence.py check_errs $? - py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_two_constant_subsequences.py + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_two_constant_subsequences.py check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_two_constant_subsequences_swap.py check_errs $? @@ -121,6 +121,8 @@ test_unit() check_errs $? py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_aamped_two_subsequences_nan_inf_A_B_join_swap.py check_errs $? + py.test -x -W ignore::RuntimeWarning -W ignore::DeprecationWarning tests/test_ostinato.py + check_errs $? } test_coverage() diff --git a/tests/test_ostinato.py b/tests/test_ostinato.py new file mode 100644 index 000000000..b9e6658d0 --- /dev/null +++ b/tests/test_ostinato.py @@ -0,0 +1,190 @@ +import numpy as np +import numpy.testing as npt +import stumpy +import naive +from stumpy.ostinato import _get_central_motif +import pytest + + +def naive_consensus_search(tss, m): + """ + Brute force consensus motif from + + + See Table 1 + + Note that there is a bug in the pseudocode at line 8 where `i` should be `j`. + This implementation fixes it. + """ + k = len(tss) + + rad = np.inf + ts_ind = 0 + ss_ind = 0 + + for j in range(k): + radii = np.zeros(len(tss[j]) - m + 1) + for i in range(k): + if i != j: + mp = naive.stump(tss[j], m, tss[i]) + radii = np.sort((radii, mp[:, 0]), axis=0)[-1, :] + min_rad_index = naive_argmin(radii) + min_rad = radii[min_rad_index] + if min_rad < rad: + rad = min_rad + ts_ind = j + ss_ind = min_rad_index + + return naive_get_central_motif(tss, rad, ts_ind, ss_ind, m) + + +def naive_get_central_motif(tss, rad, ts_ind, ss_ind, m): + """ + Compare subsequences with the same radius and return the most central motif + + Parameters + ---------- + tss : list + List of time series for which to find the most central motif + + rad : float + Best radius found by a consensus search algorithm + + ts_ind : int + Index of time series in which `rad` was found first + + ss_ind : int + Start index of subsequence in `ts_ind` that has radius `rad` + + m : int + Window size + + Returns + ------- + rad : float + Radius of the most central consensus motif + + ts_ind : int + Index of time series which contains the most central consensus motif + + ss_ind : int + Start index of most central consensus motif within the time series `ts_ind` + that contains it + + Notes + ----- + + + See Table 2 + + The ostinato algorithm proposed in the paper finds the best radius + in `tss`. Intuitively, the radius is the minimum distance of a + subsequence to encompass at least one nearest neighbor subsequence + from all other time series. The best radius in `tss` is the minimum + radius amongst all radii. Some data sets might contain multiple + subsequences which have the same optimal radius. + The greedy Ostinato algorithm only finds one of them, which might + not be the most central motif. The most central motif amongst the + subsequences with the best radius is the one with the smallest mean + distance to nearest neighbors in all other time series. To find this + central motif it is necessary to search the subsequences with the + best radius via `stumpy.ostinato._get_central_motif` + """ + k = len(tss) + + # Ostinato hit: get nearest neighbors' distances and indices + q_ost = tss[ts_ind][ss_ind : ss_ind + m] + ss_ind_nn_ost, d_ost = naive_across_series_nearest_neighbors(q_ost, tss) + + # Alternative candidates: Distance to ostinato hit equals best radius + ts_ind_alt = np.flatnonzero(naive_isclose(d_ost, rad)) + ss_ind_alt = ss_ind_nn_ost[ts_ind_alt] + d_alt = np.zeros((len(ts_ind_alt), k), dtype=float) + for i, (tsi, ssi) in enumerate(zip(ts_ind_alt, ss_ind_alt)): + q = tss[tsi][ssi : ssi + m] + _, d_alt[i] = naive_across_series_nearest_neighbors(q, tss) + rad_alt = np.sort(d_alt, axis=1)[:, -1] + d_mean_alt = np.mean(d_alt, axis=1) + + # Alternatives with same radius and lower mean distance + alt_better = ( + naive_isclose(rad_alt, rad).astype(int) + + (d_mean_alt < d_ost.mean()).astype(int) + ) == 2 + # Alternatives with same radius and same mean distance + alt_same = ( + naive_isclose(rad_alt, rad).astype(int) + + naive_isclose(d_mean_alt, d_ost.mean()).astype(int) + ) == 2 + if np.any(alt_better): + ts_ind_alt = ts_ind_alt[alt_better] + ss_ind_alt = ss_ind_alt[alt_better] + d_mean_alt = d_mean_alt[alt_better] + i_alt_best = naive_argmin(d_mean_alt) + return rad, ts_ind_alt[i_alt_best], ss_ind_alt[i_alt_best] + elif np.any(alt_same): + # Default to the first match in the list of time series + ts_ind_alt = ts_ind_alt[alt_same] + ss_ind_alt = ss_ind_alt[alt_same] + i_alt_first = naive_argmin(ts_ind_alt) + if ts_ind_alt[i_alt_first] < ts_ind: + return rad, ts_ind_alt[i_alt_first], ss_ind_alt[i_alt_first] + else: + return rad, ts_ind, ss_ind + else: + return rad, ts_ind, ss_ind + + +def naive_across_series_nearest_neighbors(q, tss): + """ + For multiple time series find, per individual time series, the subsequences closest + to a query. + + Parameters + ---------- + q : ndarray + Query array or subsequence + + tss : list + List of time series for which to the nearest neighbors to `q` + + Returns + ------- + ss_ind_nn : ndarray + Indices to subsequences in `tss` that are closest to `q` + + d : ndarray + Distances to subsequences in `tss` that are closest to `q` + """ + k = len(tss) + d = np.zeros(k, dtype=float) + ss_ind_nn = np.zeros(k, dtype=int) + for i in range(k): + dp = naive.distance_profile(q, tss[i], len(q)) + ss_ind_nn[i] = naive_argmin(dp) + d[i] = dp[ss_ind_nn[i]] + return ss_ind_nn, d + + +def naive_argmin(a): + return np.flatnonzero(a == np.sort(a)[0])[0] + + +def naive_isclose(a, b, rtol=1e-05, atol=1e-08): + return np.abs(a - b) <= (atol + rtol * np.abs(b)) + + +@pytest.mark.parametrize( + "seed", np.random.choice(np.arange(10000), size=100, replace=False) +) +def test_ostinato(seed): + m = 50 + np.random.seed(seed) + tss = [np.random.rand(n) for n in [64, 128, 256]] + + rad_naive, ts_ind_naive, ss_ind_naive = naive_consensus_search(tss, m) + rad_ostinato, ts_ind_ostinato, ss_ind_ostinato = stumpy.ostinato(tss, m) + + npt.assert_almost_equal(rad_naive, rad_ostinato) + npt.assert_almost_equal(ts_ind_naive, ts_ind_ostinato) + npt.assert_almost_equal(ss_ind_naive, ss_ind_ostinato)