View ngrams=1.txt
| X: (101423, 1934), y: (101423,) | |
| X_train: (91280, 1934), y_train: (91280,) | |
| X_test: (10143, 1934), y_test: (10143,) | |
| No confidence threshold - 10143 classified | |
| [[0 0 0 ... 0 0 0] | |
| [0 0 0 ... 0 0 0] | |
| [0 0 3 ... 0 0 0] | |
| ... | |
| [0 0 0 ... 2 0 0] | |
| [0 0 0 ... 0 2 0] |
View linear.jl
| mutable struct LinearRegression | |
| inputs::Any | |
| targets::Any | |
| params::Any | |
| end | |
| function LinearRegression(a::Any, b::Any) | |
| params = zeros(size(a, 2), 1) | |
| err = [] | |
| for i=1:size(a, 1) |
View densenet121.jl
| flipkernel(x) = x[end:-1:1, end:-1:1, :, :] | |
| begin | |
| edge_1 = (Flux.unsqueeze)(weights["conv1/bn_w_0"], (ndims(weights["conv1/bn_w_0"]) + 1) - 1) | |
| edge_2 = (Flux.unsqueeze)(weights["conv1/bn_b_0"], (ndims(weights["conv1/bn_b_0"]) + 1) - 1) | |
| edge_3 = (Flux.unsqueeze)(weights["conv2_1/x1/bn_w_0"], (ndims(weights["conv2_1/x1/bn_w_0"]) + 1) - 1) | |
| edge_4 = (Flux.unsqueeze)(weights["conv2_1/x1/bn_b_0"], (ndims(weights["conv2_1/x1/bn_b_0"]) + 1) - 1) | |
| edge_5 = (Flux.unsqueeze)(weights["conv2_1/x2/bn_w_0"], (ndims(weights["conv2_1/x2/bn_w_0"]) + 1) - 1) | |
| edge_6 = (Flux.unsqueeze)(weights["conv2_1/x2/bn_b_0"], (ndims(weights["conv2_1/x2/bn_b_0"]) + 1) - 1) | |
| edge_7 = (Flux.unsqueeze)(weights["conv2_2/x1/bn_w_0"], (ndims(weights["conv2_2/x1/bn_w_0"]) + 1) - 1) | |
| edge_8 = (Flux.unsqueeze)(weights["conv2_2/x1/bn_b_0"], (ndims(weights["conv2_2/x1/bn_b_0"]) + 1) - 1) |
View generated_file.jl
| Mul(a,b,c) = b .* reshape(c, (1,1,size(c)[a],1)) | |
| Add(axis, A ,B) = A .+ reshape(B, (1,1,size(B)[1],1)) | |
| begin | |
| c_1 = Conv(weights["fc6_w_0"], weights["fc6_b_0"], stride=(1, 1), pad=(0, 0)) | |
| c_2 = Conv(weights["conv4_blk_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(0, 0)) | |
| c_3 = Conv(weights["conv3_blk_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(0, 0)) | |
| c_4 = Conv(weights["conv2_blk_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(0, 0)) | |
| c_5 = Conv(weights["conv1_w_0"], Float32[0.0], relu, stride=(2, 2), pad=(3, 3)) | |
| c_6 = Conv(weights["conv2_1/x2_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(1, 1)) | |
| c_7 = Conv(weights["conv2_1/x1_w_0"], Float32[0.0], relu, stride=(1, 1), pad=(0, 0)) |
View coala log
| [WARNING][15:22:39] 'cli' is an internally reserved section name. It may have been generated into your coafile while running coala with `--save`. The settings in that section will inherit implicitly to all sections as defaults just like CLI args do.Please change the name of that section in your coafile to avoid any unexpected behavior. | |
| Please enter a value for the setting "use_spaces" (True if spaces are to be used instead of tabs.) needed by SpaceConsistencyBear for section "cli": | |
| False | |
| Executing section cli... | |
| [INFO][15:22:55] Applied 'ApplyPatchAction' on 'iris.py' from 'SpaceConsistencyBear'. | |
| [INFO][15:22:55] Applied 'ApplyPatchAction' on 'iris.py' from 'SpaceConsistencyBear'. | |
| [INFO][15:22:55] Applied 'ApplyPatchAction' on 'iris.py' from 'SpaceConsistencyBear'. | |
| [INFO][15:22:55] Applied 'ApplyPatchAction' on 'diabetes.py' from 'SpaceConsistencyBear'. | |
| [INFO][15:22:55] Applied 'ApplyPatchAction' on 'diabetes.py' from 'SpaceConsistencyBear'. |
ayush1999
/ .coafile test #2
Created Nov 5, 2017
View .coafile test #2
| [WARNING][21:29:09] 'cli' is an internally reserved section name. It may have been generated into your coafile while running coala with `--save`. The settings in that section will inherit implicitly to all sections as defaults just like CLI args do.Please change the name of that section in your coafile to avoid any unexpected behavior. | |
| Please enter a value for the setting "use_spaces" (True if spaces are to be used instead of tabs.) needed by SpaceConsistencyBear for section "cli": | |
| False | |
| Executing section cli... | |
| [WARNING][21:29:13] No files matching '/home/ayush99/Desktop/ML/linear_regression 2.py' were found. | |
| [WARNING][21:29:13] No files matching '/home/ayush99/Desktop/ML/linear_regression 1.py' were found. | |
| [INFO][21:29:14] Applied 'ApplyPatchAction' on 'logistic_regression.py' from 'SpaceConsistencyBear'. | |
| [INFO][21:29:14] Applied 'ApplyPatchAction' on 'multiple_linear_regression.py' from 'SpaceConsistencyBear'. | |
| [INFO][21:29:14] Applied 'ApplyPatchAction' on 'multiple_linear_regression.py' from 'SpaceConsis |
View results:
| [WARNING][23:30:34] Implicit 'Default' section inheritance is deprecated. It will be removed soon. To silence this warning remove settings in the 'Default' section from your coafile. You can use dots to specify inheritance: the section 'all.python' will inherit all settings from 'all'. | |
| Executing section python... | |
| [WARNING][23:30:35] No files matching '/home/ayush99/Desktop/ML/keras/coalib/**/*.py' were found. | |
| [WARNING][23:30:35] No files matching '/home/ayush99/Desktop/ML/keras/tests/**/*.py' were found. | |
| [WARNING][23:30:35] No files matching '/home/ayush99/Desktop/ML/keras/coala' were found. | |
| [INFO][23:30:35] Applied 'ApplyPatchAction' on 'diabetes.py' from 'SpaceConsistencyBear'. | |
| [INFO][23:30:35] Applied 'ApplyPatchAction' on 'iris.py' from 'SpaceConsistencyBear'. | |
| [INFO][23:30:35] Applied 'ApplyPatchAction' on 'iris.py' from 'QuotesBear'. | |
| [INFO][23:30:35] Applied 'ApplyPatchAction' on 'iris.py' from 'QuotesBear'. | |
| [INFO][23:30:35] Applied 'ApplyPatchAction' on 'iris.py' from 'QuotesBear'. |
ayush1999
/ socket_client.py
Created Aug 8, 2017
— forked from tuxmartin/socket_client.py
Python socket - server and client example (push notifications)
View socket_client.py
| import socket | |
| host = 'localhost' | |
| port = 1234 | |
| buf = 1024 | |
| clientsocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) | |
| clientsocket.connect((host, port)) | |
| print "Sending 'test1\\n'" |