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| # coding: utf-8 | |
| # # Computing Regression parameters (closed form example) | |
| # The data | |
| # Consider the following 5 point synthetic data set | |
| # In[1]: |
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| # coding: utf-8 | |
| # # Computing Regression parameters (gradient descent example) | |
| # The data | |
| # Consider the following 5 point synthetic data set | |
| # In[1]: |
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| upload=true&script=true&cardinfo= | |
| !!################################ | |
| !!ALSA Information Script v 0.4.64 | |
| !!################################ | |
| !!Script ran on: Wed Apr 19 15:32:56 UTC 2017 | |
| !!Linux Distribution | |
| !!------------------ |
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| # this makefile works with system libcurl or libcurl built by | |
| # me. | |
| # | |
| # myversion of lib curl is in : | |
| #LIBCURL_DIR=/home/davis/progs/notmine/curl | |
| #MYINC=${LIBCURL_DIR}/include/ | |
| #MYLIB=${LIBCURL_DIR}/lib/.libs/ |
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| test from R | |
| T 192.168.1.4:41772 -> 107.170.47.130:80 [AP] | |
| POST /post.php HTTP/1.1. | |
| Host: www.posttestserver.com. | |
| User-Agent: libcurl/7.52.1 r-curl/3.0 httr/1.3.1. | |
| Accept-Encoding: gzip, deflate. | |
| Accept: application/json, text/xml, application/xml, */*. | |
| Content-Type: application/octet-stream. | |
| Content-Length: 7. |
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| # coding: utf-8 | |
| # In[1]: | |
| # Start of code for librosa walkthrough | |
| # add autocomplete with TAB | |
| # get_ipython().run_line_magic('config', 'IPCompleter.greedy=True') |
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| Using this guide, here are my notes in that regard: | |
| =================================================== | |
| https://wiki.debian.org/NvidiaGraphicsDrivers/Optimus | |
| lspci | grep 3D | |
| 02:00.0 3D controller: NVIDIA Corporation GM108M [GeForce 940MX] (rev a2) | |
| My bios does not have the ability to disable the intel driver. | |
| I installed x11-xserver-utils |
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| Downloading and Extracting Packages | |
| audioread-2.1.5 | 28 KB | ####################################### | 100% | |
| certifi-2018.4.16 | 142 KB | ####################################### | 100% | |
| librosa-0.6.1 | 1.5 MB | ####################################### | 100% | |
| libiconv-1.15 | 2.0 MB | ####################################### | 100% | |
| conda-4.5.8 | 624 KB | ####################################### | 100% | |
| resampy-0.2.1 | 330 KB | ####################################### | 100% | |
| x264-20180712 | 5.0 MB | ####################################### | 100% | |
| ffmpeg-2.8.6 | 55.2 MB | ####################################### | 100% | |
| joblib-0.12 | 167 KB | ####################################### | 100% |
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| INPUT_COLUMNS = [ | |
| # Define features | |
| tf.feature_column.categorical_column_with_vocabulary_list('dayofweek', vocabulary_list = ['Sun', 'Mon', 'Tues', 'Wed', 'Thu', 'Fri', 'Sat']), | |
| tf.feature_column.categorical_column_with_identity('hourofday', num_buckets = 24), | |
| ] |
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| It looks like copy and paste of the tsv file replaced tabs with spaces. Here is where the original file can be found. | |
| https://waterdata.usgs.gov/nwis/dv?cb_00045=on&cb_62620=on&format=rdb&site_no=0204288721&referred_module=sw&period=&begin_date=2018-04-12&end_date=2019-04-12 |