diff --git a/playlist-classifier.ipynb b/playlist-classifier.ipynb index 2826826..7e05fa7 100644 --- a/playlist-classifier.ipynb +++ b/playlist-classifier.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -69,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -85,7 +85,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# SVM\n", + "# SVM Kernels\n", "Support Vector Machine" ] }, @@ -358,6 +358,70 @@ "print(f'\\n{correct*100:.2f}% Accurate')" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# SVM Cross-Validation" + ] + }, + { + "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": [ + "# %matplotlib widget\n", + "\n", + "sigma = [0.01, 0.03, 0.1, 0.3, 1, 3, 10, 15, 20, 30, 38, 45]\n", + "C = [0.01, 0.03, 0.1, 0.3, 1, 2, 4, 6, 8, 10, 20, 30]\n", + "# sigma = [0.01, 0.03]\n", + "# C = [0.01, 0.03, 2]\n", + "\n", + "scores = np.zeros((len(sigma), len(C)))\n", + "param_pairs = list()\n", + "\n", + "for x, s in enumerate(sigma):\n", + " for y, c in enumerate(C):\n", + " clf = svm.SVC(kernel='rbf', gamma = 1/(2*(s**2)), C=c, class_weight='balanced')\n", + " clf.fit(data_train, labels_train)\n", + " scores[x, y] = clf.score(data_test, labels_test)\n", + " param_pairs.append((s, c))\n", + "# print(scores[x, y], s, c)\n", + " \n", + "# print(scores)\n", + " \n", + "index = np.argmax(scores)\n", + "sig_max, c_max = param_pairs[index]\n", + "\n", + "X, Y = np.meshgrid(C, sigma)\n", + "\n", + "fig = plt.figure()\n", + "ax = plt.axes(projection='3d')\n", + "surf = ax.plot_surface(X, Y, scores, cmap=mpl.cm.coolwarm)\n", + "ax.set_title('Regularisation & Gamma Cross-validation')\n", + "ax.set_xlabel('C')\n", + "ax.set_ylabel('Sigma')\n", + "ax.set_zlabel('Score')\n", + "ax.view_init(50, -140)\n", + "\n", + "# fig.colorbar(surf, shrink=0.3, aspect=6)\n", + "plt.show()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -367,7 +431,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -404,7 +468,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ diff --git a/poetry.lock b/poetry.lock index 228d839..598e767 100644 --- a/poetry.lock +++ b/poetry.lock @@ -29,7 +29,7 @@ name = "argon2-cffi" version = "20.1.0" description = "The secure Argon2 password hashing algorithm." category = "main" -optional = true +optional = false python-versions = "*" [package.dependencies] @@ -59,7 +59,7 @@ name = "async-generator" version = "1.10" description = "Async generators and context managers for Python 3.5+" category = "main" -optional = true +optional = false python-versions = ">=3.5" [[package]] @@ -67,7 +67,7 @@ name = "attrs" version = "20.3.0" description = "Classes Without Boilerplate" category = "main" -optional = true +optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [package.extras] @@ -115,7 +115,7 @@ name = "bleach" version = "3.3.0" description = "An easy safelist-based HTML-sanitizing tool." category = "main" -optional = true +optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" [package.dependencies] @@ -198,7 +198,7 @@ name = "defusedxml" version = "0.6.0" description = "XML bomb protection for Python stdlib modules" category = "main" -optional = true +optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" [[package]] @@ -206,7 +206,7 @@ name = "entrypoints" version = "0.3" description = "Discover and load entry points from installed packages." category = "main" -optional = true +optional = false python-versions = ">=2.7" [[package]] @@ -392,6 +392,19 @@ traitlets = ">=4.1.0" [package.extras] test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"] +[[package]] +name = "ipympl" +version = "0.6.3" +description = "Matplotlib Jupyter Extension" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +ipykernel = ">=4.7" +ipywidgets = ">=7.6.0" +matplotlib = ">=2.0.0" + [[package]] name = "ipython" version = "7.20.0" @@ -431,6 +444,25 @@ category = "main" optional = false python-versions = "*" +[[package]] +name = "ipywidgets" +version = "7.6.3" +description = "IPython HTML widgets for Jupyter" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +ipykernel = ">=4.5.1" +ipython = {version = ">=4.0.0", markers = "python_version >= \"3.3\""} +jupyterlab-widgets = {version = ">=1.0.0", markers = "python_version >= \"3.6\""} +nbformat = ">=4.2.0" +traitlets = ">=4.3.1" +widgetsnbextension = ">=3.5.0,<3.6.0" + +[package.extras] +test = ["pytest (>=3.6.0)", "pytest-cov", "mock"] + [[package]] name = "isort" version = "5.7.0" @@ -464,7 +496,7 @@ name = "jinja2" version = "2.11.3" description = "A very fast and expressive template engine." category = "main" -optional = true +optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" [package.dependencies] @@ -497,7 +529,7 @@ name = "jsonschema" version = "3.2.0" description = "An implementation of JSON Schema validation for Python" category = "main" -optional = true +optional = false python-versions = "*" [package.dependencies] @@ -594,7 +626,7 @@ name = "jupyterlab-pygments" version = "0.1.2" description = "Pygments theme using JupyterLab CSS variables" category = "main" -optional = true +optional = false python-versions = "*" [package.dependencies] @@ -620,6 +652,14 @@ requests = "*" [package.extras] test = ["codecov", "ipykernel", "pytest (>=5.3.2)", "pytest-cov", "jupyter-server", "pytest-console-scripts", "strict-rfc3339", "wheel"] +[[package]] +name = "jupyterlab-widgets" +version = "1.0.0" +description = "A JupyterLab extension." +category = "main" +optional = false +python-versions = ">=3.6" + [[package]] name = "kiwisolver" version = "1.3.1" @@ -641,7 +681,7 @@ name = "markupsafe" version = "1.1.1" description = "Safely add untrusted strings to HTML/XML markup." category = "main" -optional = true +optional = false python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*" [[package]] @@ -673,7 +713,7 @@ name = "mistune" version = "0.8.4" description = "The fastest markdown parser in pure Python" category = "main" -optional = true +optional = false python-versions = "*" [[package]] @@ -696,7 +736,7 @@ name = "nbclient" version = "0.5.2" description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." category = "main" -optional = true +optional = false python-versions = ">=3.6.1" [package.dependencies] @@ -716,7 +756,7 @@ name = "nbconvert" version = "6.0.7" description = "Converting Jupyter Notebooks" category = "main" -optional = true +optional = false python-versions = ">=3.6" [package.dependencies] @@ -746,7 +786,7 @@ name = "nbformat" version = "5.1.2" description = "The Jupyter Notebook format" category = "main" -optional = true +optional = false python-versions = ">=3.5" [package.dependencies] @@ -764,7 +804,7 @@ name = "nest-asyncio" version = "1.5.1" description = "Patch asyncio to allow nested event loops" category = "main" -optional = true +optional = false python-versions = ">=3.5" [[package]] @@ -772,7 +812,7 @@ name = "notebook" version = "6.2.0" description = "A web-based notebook environment for interactive computing" category = "main" -optional = true +optional = false python-versions = ">=3.5" [package.dependencies] @@ -847,7 +887,7 @@ name = "pandocfilters" version = "1.4.3" description = "Utilities for writing pandoc filters in python" category = "main" -optional = true +optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] @@ -894,7 +934,7 @@ name = "prometheus-client" version = "0.9.0" description = "Python client for the Prometheus monitoring system." category = "main" -optional = true +optional = false python-versions = "*" [package.extras] @@ -1026,7 +1066,7 @@ name = "pyrsistent" version = "0.17.3" description = "Persistent/Functional/Immutable data structures" category = "main" -optional = true +optional = false python-versions = ">=3.5" [[package]] @@ -1072,7 +1112,7 @@ name = "pywinpty" version = "0.5.7" description = "Python bindings for the winpty library" category = "main" -optional = true +optional = false python-versions = "*" [[package]] @@ -1152,7 +1192,7 @@ name = "send2trash" version = "1.5.0" description = "Send file to trash natively under Mac OS X, Windows and Linux." category = "main" -optional = true +optional = false python-versions = "*" [[package]] @@ -1213,7 +1253,7 @@ name = "terminado" version = "0.9.2" description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." category = "main" -optional = true +optional = false python-versions = ">=3.6" [package.dependencies] @@ -1226,7 +1266,7 @@ name = "testpath" version = "0.4.4" description = "Test utilities for code working with files and commands" category = "main" -optional = true +optional = false python-versions = "*" [package.extras] @@ -1296,9 +1336,20 @@ name = "webencodings" version = "0.5.1" description = "Character encoding aliases for legacy web content" category = "main" -optional = true +optional = false python-versions = "*" +[[package]] +name = "widgetsnbextension" +version = "3.5.1" +description = "IPython HTML widgets for Jupyter" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +notebook = ">=4.4.1" + [[package]] name = "wrapt" version = "1.12.1" @@ -1313,7 +1364,7 @@ jupyter = ["jupyterlab"] [metadata] lock-version = "1.1" python-versions = ">=3.8,<3.10" -content-hash = "964d6183eaf7a2d6e9d4df53f24a7ac42e4092de518a601641625987cc687f0c" +content-hash = "b395ea51e456a5ed0a75cc85aab614a431652d04e3b24ed701d8a76033d27c51" [metadata.files] anyio = [ @@ -1560,6 +1611,10 @@ ipykernel = [ {file = "ipykernel-5.4.3-py3-none-any.whl", hash = "sha256:4ed205700001a83b5832d4821c46a5733f1bf4b1c55744314ae3c756be6b6095"}, {file = "ipykernel-5.4.3.tar.gz", hash = "sha256:697103d218e9a8828025af7986e033c89e0b36e2b6eb84a5bda4739b9a27f3cb"}, ] +ipympl = [ + {file = "ipympl-0.6.3-py2.py3-none-any.whl", hash = "sha256:5aa5ab26aaaf583f9fa12896b277460609926828075129c3165695243ba4fc91"}, + {file = "ipympl-0.6.3.tar.gz", hash = "sha256:bf2a33863ec9025d6d767f09b9f36dd8f7fe80d1f8f5ba08fca9f4e460ee64f8"}, +] ipython = [ {file = "ipython-7.20.0-py3-none-any.whl", hash = "sha256:1918dea4bfdc5d1a830fcfce9a710d1d809cbed123e85eab0539259cb0f56640"}, {file = "ipython-7.20.0.tar.gz", hash = "sha256:1923af00820a8cf58e91d56b89efc59780a6e81363b94464a0f17c039dffff9e"}, @@ -1568,6 +1623,10 @@ ipython-genutils = [ {file = "ipython_genutils-0.2.0-py2.py3-none-any.whl", hash = "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8"}, {file = "ipython_genutils-0.2.0.tar.gz", hash = "sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8"}, ] +ipywidgets = [ + {file = "ipywidgets-7.6.3-py2.py3-none-any.whl", hash = "sha256:e6513cfdaf5878de30f32d57f6dc2474da395a2a2991b94d487406c0ab7f55ca"}, + {file = "ipywidgets-7.6.3.tar.gz", hash = "sha256:9f1a43e620530f9e570e4a493677d25f08310118d315b00e25a18f12913c41f0"}, +] isort = [ {file = "isort-5.7.0-py3-none-any.whl", hash = "sha256:fff4f0c04e1825522ce6949973e83110a6e907750cd92d128b0d14aaaadbffdc"}, {file = "isort-5.7.0.tar.gz", hash = "sha256:c729845434366216d320e936b8ad6f9d681aab72dc7cbc2d51bedc3582f3ad1e"}, @@ -1616,6 +1675,10 @@ jupyterlab-server = [ {file = "jupyterlab_server-2.2.1-py3-none-any.whl", hash = "sha256:b647c532bbb45dad83b1dcd18e9b8cd9a22a68f799811cbca35616b3e8d27acc"}, {file = "jupyterlab_server-2.2.1.tar.gz", hash = "sha256:8b619ec5e13c2d1ac2e3a43a8147382f41fb17b425b50fa38b1cc84849c7bf94"}, ] +jupyterlab-widgets = [ + {file = "jupyterlab_widgets-1.0.0-py3-none-any.whl", hash = "sha256:caeaf3e6103180e654e7d8d2b81b7d645e59e432487c1d35a41d6d3ee56b3fef"}, + {file = "jupyterlab_widgets-1.0.0.tar.gz", hash = "sha256:5c1a29a84d3069208cb506b10609175b249b6486d6b1cbae8fcde2a11584fb78"}, +] kiwisolver = [ {file = "kiwisolver-1.3.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:fd34fbbfbc40628200730bc1febe30631347103fc8d3d4fa012c21ab9c11eca9"}, {file = "kiwisolver-1.3.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:d3155d828dec1d43283bd24d3d3e0d9c7c350cdfcc0bd06c0ad1209c1bbc36d0"}, @@ -2231,6 +2294,10 @@ webencodings = [ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, ] +widgetsnbextension = [ + {file = "widgetsnbextension-3.5.1-py2.py3-none-any.whl", hash = "sha256:bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"}, + {file = "widgetsnbextension-3.5.1.tar.gz", hash = "sha256:079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7"}, +] wrapt = [ {file = "wrapt-1.12.1.tar.gz", hash = "sha256:b62ffa81fb85f4332a4f609cab4ac40709470da05643a082ec1eb88e6d9b97d7"}, ] diff --git a/pyproject.toml b/pyproject.toml index 1ad1c34..b4ecc39 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,6 +18,7 @@ python-dotenv = "^0.15.0" matplotlib = "^3.3.4" pyarrow = "^3.0.0" scikit-learn = "^0.24.1" +ipympl = "^0.6.3" [tool.poetry.dev-dependencies] pylint = "^2.6.0"