From dd3ea9d7b627f9f1cfd8446e44bb173420c77182 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=90=D1=80=D1=85?= =?UTF-8?q?=D0=B8=D0=BF=D0=BE=D0=B2?= Date: Thu, 4 Mar 2021 02:54:42 +0300 Subject: [PATCH 1/6] Changed requirements --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index e91b7310..a54feefb 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,6 @@ six==1.15.0 sklearn==0.0 +git == 100000 tensorflow==2.2.0 absl-py==0.10.0 tf-slim==1.1.0 From d7a47b0d5b69e0cea2155db67ac2474330a3184b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=90=D1=80=D1=85?= =?UTF-8?q?=D0=B8=D0=BF=D0=BE=D0=B2?= Date: Thu, 4 Mar 2021 02:56:32 +0300 Subject: [PATCH 2/6] Added math to blocks --- model_search/blocks.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/model_search/blocks.py b/model_search/blocks.py index af180bc5..757a7fb7 100644 --- a/model_search/blocks.py +++ b/model_search/blocks.py @@ -18,7 +18,7 @@ """Well known building blocks for Convolutional networks.""" import abc - +import math import enum import functools From 59237c589e3a82fba71962762496330e5a0159fd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=90=D1=80=D1=85?= =?UTF-8?q?=D0=B8=D0=BF=D0=BE=D0=B2?= Date: Thu, 4 Mar 2021 02:58:42 +0300 Subject: [PATCH 3/6] Changed README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1bd9f713..84ff5ab6 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,7 @@ Let us start with the simplest case. You have a csv file where the features are and you would like to run let AutoML find the best model architecture for you. Below is a code snippet for doing so: - +## Next will be about python ```python import model_search from model_search import constants From e106cc9ae7980313434bbcd5baac875434fae4f9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=90=D1=80=D1=85?= =?UTF-8?q?=D0=B8=D0=BF=D0=BE=D0=B2?= Date: Thu, 4 Mar 2021 03:03:54 +0300 Subject: [PATCH 4/6] Added python to requirements --- requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/requirements.txt b/requirements.txt index e91b7310..06cd4efe 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,5 +1,6 @@ six==1.15.0 sklearn==0.0 +python==3.6 tensorflow==2.2.0 absl-py==0.10.0 tf-slim==1.1.0 From 51317675eac75c25a1da3b8f6068ee90d194977b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=90=D1=80=D1=85?= =?UTF-8?q?=D0=B8=D0=BF=D0=BE=D0=B2?= Date: Thu, 4 Mar 2021 03:04:56 +0300 Subject: [PATCH 5/6] Added numpy to blocks --- model_search/blocks.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/model_search/blocks.py b/model_search/blocks.py index af180bc5..dbf40353 100644 --- a/model_search/blocks.py +++ b/model_search/blocks.py @@ -18,7 +18,7 @@ """Well known building blocks for Convolutional networks.""" import abc - +import numpy import enum import functools From 8fa5cb1729b5033f852713dcd72463a062cd982a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=90=D1=80=D1=85?= =?UTF-8?q?=D0=B8=D0=BF=D0=BE=D0=B2?= Date: Thu, 4 Mar 2021 03:06:02 +0300 Subject: [PATCH 6/6] It is the end --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1bd9f713..a00df21d 100644 --- a/README.md +++ b/README.md @@ -29,7 +29,7 @@ Let us start with the simplest case. You have a csv file where the features are and you would like to run let AutoML find the best model architecture for you. Below is a code snippet for doing so: - +## Getting Ended ```python import model_search from model_search import constants