Register
Login
Resources
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Product
Data Engine LLMs Platform Enterprise
Pricing Explore
Connect to our Discord channel
Resources  
Docs Blog Datasets Glossary Case Studies Tutorials & Webinars
Explore Pricing
Product  
Data Engine LLMs Platform Enterprise
Connect to Dagshub Discord channel
Register
Login

danaderp
/
ds4se
mirror of https://github.com/WM-SEMERU/ds4se.git

Watch 3
Issues   Discussions 0

8.0_interpretability.i.html 2.7 KB
Permalink History Raw

You have to be logged in to leave a comment. Sign In
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127 
  1. ---
    2. 

  2. 

  3. title: Interpretability Notebook
    4. 

  4. 

  5. keywords: fastai
    6. 

  6. sidebar: home_sidebar
    7. 

  7. 

  8. 

  9. ---
    10. 

  10. <!--
    11. 

  11. 

  12. #################################################
    13. 

  13. ### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
    14. 

  14. #################################################
    15. 

  15. # file to edit: nbs/8.0_interpretability.i.ipynb
    16. 

  16. # command to build the docs after a change: nbdev_build_docs
    17. 

  17. 

  18. -->
    19. 

  19. 

  20. <div class="container" id="notebook-container">
    21. 

  21.     
    22. 

  22. <div class="cell border-box-sizing code_cell rendered">
    23. 

  23. 

  24. </div>
    25. 

  25. <div class="cell border-box-sizing code_cell rendered">
    26. 

  26. <div class="input">
    27. 

  27. 

  28. <div class="inner_cell">
    29. 

  29.     <div class="input_area">
    30. 

  30. <div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># ! pip install -e . &lt;----- Install in the console</span>
    31. 

  31. <span class="c1">#! pip install XXX</span>
    32. 

  32. </pre></div>
    33. 

  33. 

  34.     </div>
    35. 

  35. </div>
    36. 

  36. </div>
    37. 

  37. 

  38. </div>
    39. 

  39. <div class="cell border-box-sizing code_cell rendered">
    40. 

  40. <div class="input">
    41. 

  41. 

  42. <div class="inner_cell">
    43. 

  43.     <div class="input_area">
    44. 

  44. <div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
    45. 

  45. <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
    46. 

  46. </pre></div>
    47. 

  47. 

  48.     </div>
    49. 

  49. </div>
    50. 

  50. </div>
    51. 

  51. 

  52. </div>
    53. 

  53. <div class="cell border-box-sizing code_cell rendered">
    54. 

  54. 

  55. </div>
    56. 

  56. <div class="cell border-box-sizing code_cell rendered">
    57. 

  57. <div class="input">
    58. 

  58. 

  59. <div class="inner_cell">
    60. 

  60.     <div class="input_area">
    61. 

  61. <div class=" highlight hl-ipython3"><pre><span></span><span class="n">m</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
    62. 

  62. </pre></div>
    63. 

  63. 

  64.     </div>
    65. 

  65. </div>
    66. 

  66. </div>
    67. 

  67. 

  68. </div>
    69. 

  69. <div class="cell border-box-sizing code_cell rendered">
    70. 

  70. <div class="input">
    71. 

  71. 

  72. <div class="inner_cell">
    73. 

  73.     <div class="input_area">
    74. 

  74. <div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">m</span><span class="p">)</span>
    75. 

  75. </pre></div>
    76. 

  76. 

  77.     </div>
    78. 

  78. </div>
    79. 

  79. </div>
    80. 

  80. 

  81. <div class="output_wrapper">
    82. 

  82. <div class="output">
    83. 

  83. 

  84. <div class="output_area">
    85. 

  85. 

  86. <div class="output_subarea output_stream output_stdout output_text">
    87. 

  87. <pre>[0. 0. 0. 0. 0.]
    88. 

  88. </pre>
    89. 

  89. </div>
    90. 

  90. </div>
    91. 

  91. 

  92. </div>
    93. 

  93. </div>
    94. 

  94. 

  95. </div>
    96. 

  96. <div class="cell border-box-sizing code_cell rendered">
    97. 

  97. <div class="input">
    98. 

  98. 

  99. <div class="inner_cell">
    100. 

  100.     <div class="input_area">
    101. 

  101. <div class=" highlight hl-ipython3"><pre><span></span><span class="n">m</span>
    102. 

  102. </pre></div>
    103. 

  103. 

  104.     </div>
    105. 

  105. </div>
    106. 

  106. </div>
    107. 

  107. 

  108. <div class="output_wrapper">
    109. 

  109. <div class="output">
    110. 

  110. 

  111. <div class="output_area">
    112. 

  112. 

  113. 

  114. 

  115. <div class="output_text output_subarea output_execute_result">
    116. 

  116. <pre>array([0., 0., 0., 0., 0.])</pre>
    117. 

  117. </div>
    118. 

  118. 

  119. </div>
    120. 

  120. 

  121. </div>
    122. 

  122. </div>
    123. 

  123. 

  124. </div>
    125. 

  125. </div>
    126. 

  126.  
    127. 

  127.
Prev
Next
Tip!

Press p or to see the previous file or, n or to see the next file

Comments

Write Preview
Loading...
Integrate Google Cloud Storage
Use Google Storage
Select bucket
Upload key
Finish

Use Google Cloud Storage!

Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Google Storage bucket

Service Account Key

Congratulations!

ds4se is now integrated with Google Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate AWS S3
Use S3 remote
Select bucket
Access key
Finish

Use AWS S3 as storage!

Browsing data directories saved to S3 is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

ds4se is now integrated with AWS S3!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate S3 compatible storage
Use S3 like remote
Select bucket
Access key
Finish

Use any S3 compatible storage!

Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your S3 bucket

Access key (If needed)

Congratulations!

ds4se is now integrated with your S3 compatible storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes
Integrate Azure Cloud Storage
Use Azure Storage
Select bucket
Set key
Finish

Use Azure Cloud Storage!

Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!

Specify your Azure Storage bucket

Access key (If needed)

Congratulations!

ds4se is now integrated with Azure Cloud Storage!

Delete Storage Key

Are you sure you want to delete this access key?

No
Yes