From 3296a36b846187093831ed07bd7df67073c04e0f Mon Sep 17 00:00:00 2001
From: shawk masboob <masboob.shawk@gmail.com>
Date: Fri, 21 Feb 2020 13:24:21 -0500
Subject: [PATCH] removing temp files
---
.DS_Store | Bin 8196 -> 0 bytes
.Rhistory | 0
Models/.DS_Store | Bin 6148 -> 0 bytes
...Graph_Theory_ShawkMasboob-checkpoint.ipynb | 100 ------------------
...ROJECT_Auto_Documentation-checkpoint.ipynb | 6 --
...-PROJECT_Auto_Documentation.cpython-37.pyc | Bin 2050 -> 0 bytes
.../__pycache__/TDA_Prediction.cpython-37.pyc | Bin 1852 -> 0 bytes
.../__pycache__/TDA_Regression.cpython-37.pyc | Bin 2033 -> 0 bytes
Reports/.DS_Store | Bin 6148 -> 0 bytes
Topological_ML/.DS_Store | Bin 6148 -> 0 bytes
.../Untitled1-checkpoint.ipynb | 6 --
.../__init__.py-checkpoint.ipynb | 6 --
.../__pycache__/TDA_Prediction.cpython-37.pyc | Bin 1874 -> 0 bytes
.../__pycache__/__init__.cpython-37.pyc | Bin 259 -> 0 bytes
14 files changed, 118 deletions(-)
delete mode 100644 .DS_Store
delete mode 100644 .Rhistory
delete mode 100644 Models/.DS_Store
delete mode 100644 Models/.ipynb_checkpoints/0207-REPORT-Graph_Theory_ShawkMasboob-checkpoint.ipynb
delete mode 100644 Models/.ipynb_checkpoints/0214-PROJECT_Auto_Documentation-checkpoint.ipynb
delete mode 100644 Models/__pycache__/0214-PROJECT_Auto_Documentation.cpython-37.pyc
delete mode 100644 Models/__pycache__/TDA_Prediction.cpython-37.pyc
delete mode 100644 Models/__pycache__/TDA_Regression.cpython-37.pyc
delete mode 100644 Reports/.DS_Store
delete mode 100644 Topological_ML/.DS_Store
delete mode 100644 Topological_ML/.ipynb_checkpoints/Untitled1-checkpoint.ipynb
delete mode 100644 Topological_ML/.ipynb_checkpoints/__init__.py-checkpoint.ipynb
delete mode 100644 Topological_ML/__pycache__/TDA_Prediction.cpython-37.pyc
delete mode 100644 Topological_ML/__pycache__/__init__.cpython-37.pyc
diff --git a/.DS_Store b/.DS_Store
deleted file mode 100644
index 942fd30a9f40b152c4f4b81765b733297b33664c..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 8196
zcmeHMzmL-}6n?&zo?8S|2#Jna*g7<DaJL|ZQU)ZD5IMmBsFz$y8!3sSCZ)P7MfoFG
z;J;zy4?qkzAQpCJ7M_35%cVb#38B`O?9a8|v-`eJb@E&QAnlQ70yF@CV&z!Bh|Pk+
z=XsqgTWaJgB0+zE01|hc#BRXcIcq(j8PE)91~dbj0nNbwzyLn8d7(?5`*K#dngPwg
zMl!(92LmfdOJOEa939w*6acY|!=hjx^8n#vD6|x25``<SDYFNnT!~6Ch;+w!gPS8-
z3Nwk)9f))XqIM=KLm^^!^fQDx5KE$NH3OP~c?NjyUV+EJz=K{PfB)>pfuE$U)>pDs
zDqpB<Q(B|7OSM<_fQ{|cNk>WB8NT43o;c~iRsDU&f?3~jpZUFUw|?zDi&DprdPCvt
zdp$IH`P`2@Hg2;~<RxMqTTW0~rPXe|F`4X`x0}XIb8p%-CcC?>rm=JD&U9L(*Ke42
zA0C89$CJ0ycOPV2M4b(Ar4Z-GVvs@Kv=3Pr=j_gq5VB53U1HE*?|*!${QPvUxJJml
zb8X_m>V4kW!zf@;AJ^vJeH)&l2r-H=g!If+%34WL2y=lL1&h2KVd>k6l4H*5RFLIX
z3nVG5QxN4c?4uxDlmKfVd^iLL`(6CiJj&g6t(8P8gI*xmO8dNg@#~ZCO1^V^PR0CN
zp9Rvc+@m0L?l90@&A|FIP?8}wc>e!j`ThU;6QLv23~Vq1q};JPZ6x5&`*V>Co@*Oe
z53usW?J|kN1sjo$BZ_n!arTEH_6;=UK9<5vB937B_ZI=PmpA?V7YgWR6B+mo?s-yu
diff --git a/.Rhistory b/.Rhistory
deleted file mode 100644
index e69de29..0000000
diff --git a/Models/.DS_Store b/Models/.DS_Store
deleted file mode 100644
index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 6148
zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3
zem<@ulZcFPQ@L2!n>{z**<q8>++&mCkOWA81W14cNZ<zv;LbK1Poaz?KmsK2CSc!(
z0ynLxE!0092;Krf2c+FF_Fe*7ECH>lEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ
zLs35+`xjp>T0<F0fCPF1$Cyrb|F7^5{eNG?83~ZUUlGt@xh*qZDeu<Z%US-OSsOPv
j)R!Z4KLME7ReXlK;d!wEw5GODWMKRea10D2@KpjYNUI8I
diff --git a/Models/.ipynb_checkpoints/0207-REPORT-Graph_Theory_ShawkMasboob-checkpoint.ipynb b/Models/.ipynb_checkpoints/0207-REPORT-Graph_Theory_ShawkMasboob-checkpoint.ipynb
deleted file mode 100644
index 9cc6b8c..0000000
--- a/Models/.ipynb_checkpoints/0207-REPORT-Graph_Theory_ShawkMasboob-checkpoint.ipynb
+++ /dev/null
@@ -1,100 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# <center>Graph Theory within Topological Data Analysis</center>\n",
- "\n",
- "<center>by Shawk Masboob</center>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Graph theory utilizes limited topological thought (i.e. it can be considered a subset of topology). Topological objects consist of nodes, edges, and faces. In graph theory, these objects arise through natural geo-spatial data (cell tower data, election data, etc.) or through artificial construction (social complexity theory, political relations theory, etc.). Some application of graph theory involve using graphs modeling relations and processes in physical, biological, and social and information systems. Graph theory is also used to represent computer networks. \n",
- "\n",
- "Graph theory and topology are related in that graphs are a 1-simplicial complex. A simplicial complex is a finite collection of simplices. [1]. A simplex is a generalized triangle in any arbitrary dimension where the 0-simplex is a point, the 1-simplex is a line segment, the 2-simplex is a triangle, the 3-simplex is a tetrahedron, the 4-simplex is a 5-cell, and so on. The figure below provides a simple example of simplices."
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "| ![alt text](simplex.png \"simplex\") | \n",
- "|:--:| \n",
- "|__Figure 1.__ From left to right: a point (vertex), a line segment (an edge), a triangle, and a tetrahedron.\n",
- "Image Source: [1] |"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The shift from the 1-simplicial complex and the 2-simplicial complex provides a simple demonstration of the relationship between graph theory and topology. It is challenging to discuss concepts within topology without implicitly referencing properties of graph theory. \n",
- "\n",
- "As mentioned above, there are many applications within graph theory. These same applications can be done using topology, specifically topological data analysis (TDA). TDA seeks to analyze datasets using various techniques from topology. It is beneficial to convert the data points with simplicial complexes based on some distance metric. A simple way of converting data points into a global object is to use each point as the vertices of a graph and to let the edges of the graph be determined by proximity. [2]. The graph at this stage (1-simplex), while capturing connectivity within the data, fails to capture higher order features beyond clustering. [2]. Moving up the “simplicial scales†allows the researcher to see other interesting features that may not be so obvious when using a standard graph. The Cech Complex and the Rips Complex are the two most common methods used to “fill in†the higher dimensional simplices. [2] Figure 2 demonstrates the process of converting a dataset into a higher order simplicial complex. "
- ]
- },
- {
- "attachments": {},
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "| ![alt text](complex.png \"complex\") | \n",
- "|:--:| \n",
- "|__Figure 2.__ The bottom left image is the Cech Complex and the bottom right image is the Rips Complex.\n",
- "Image Source: [2] |"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "As seen from Figure 2, any point cloud data can be converted into a higher order simplicial complex after selecting a specified proximity measure. \n",
- "\n",
- "A real-world example that combines graph theory and TDA is as follows: the human brain can be visualized using graph theory. However, the human brain is a very complex network that is hard to visualize. MAPPER (a Python TDA package) can be used to reduce the high-dimensional dataset without having to make many assumptions about the data. [3]. Doing so allows the researcher to visualize the data using some graph. \n",
- "\n",
- "TDA is used to understand complex and high dimensional data problems. The simple technique mentioned above is capable to pointing out the natural patterns within a dataset that a standard graph cannot. Graph theory is useful if one seeks construct a network. If one seeks to go beyond network construction and clustering, they ought to consider using TDA. That said, TDA is not independent of graph theory. There are some theoretical similarities and applications. As noted above, a graph is a 1-simplicial complex. "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "---\n",
- "# References\n",
- "\n",
- "[1] Edelsbrunner, Herbert. “Simplicial Complexes.†COMPUTATIONAL TOPOLOGY, www2.cs.duke.edu/courses/fall06/cps296.1/.\n",
- "\n",
- "[2] Ghrist, Robert. “Barcodes: The Persistent Topology of Data.†Bulletin of the American Mathematical Society, vol. 45, no. 01, 2007, pp. 61–76., doi:10.1090/s0273-0979-07-01191-3.\n",
- "\n",
- "[3] Saggar, M., Sporns, O., Gonzalez-Castillo, J. et al. Towards a new approach to reveal dynamical organization of the brain using topological data analysis. Nat Commun 9, 1399 (2018). https://doi.org/10.1038/s41467-018-03664-4"
- ]
- }
- ],
- "metadata": {
- "anaconda-cloud": {},
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.3"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/Models/.ipynb_checkpoints/0214-PROJECT_Auto_Documentation-checkpoint.ipynb b/Models/.ipynb_checkpoints/0214-PROJECT_Auto_Documentation-checkpoint.ipynb
deleted file mode 100644
index 2fd6442..0000000
--- a/Models/.ipynb_checkpoints/0214-PROJECT_Auto_Documentation-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Models/__pycache__/0214-PROJECT_Auto_Documentation.cpython-37.pyc b/Models/__pycache__/0214-PROJECT_Auto_Documentation.cpython-37.pyc
deleted file mode 100644
index 07bd442147a3b679ee435f0f44f744bb0192657e..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 2050
zcmah~!EWO=5EUiamSsEHF1mZ@i9ib!J|x}-MbR#TqPy7?O@VcSID65d1})ODYFQFU
zDrp4wlzu_~qQBA4(6y)jLQkC;If)aXC=GIEBn~z2%?$l^FbEwO?9=am8h0G$FEs9k
z56X8i&F`>CN3zsev4}B8y3+g2iCpQ+7D!LFWe21$1K9=HlA-K@Y|FkJfb7VfC{UgX
zZdue-q3Yhk8Olc)^}z0t-6FdWcAxAv%4h)gfb39pR3CH~Ex9{!hR^<nxSS!Y11YR9
z%9<D-;9#411kwbsNcO9<cEHK4Mj?k$7HKXdxA_gf^X7A%uegbmWn%YIC3HqR$A92A
zeB7lyIEt2kW}^>AX)`hlalKp#Gt2YY=$$f4n-?RPd757)u}G&Y5igQVP3gcSyBxjG
zrAp1{)xj5E?wy^V{&;+JF@00oeEKer%azKkut}cn7dH(q46}tWFddHXGu;LmBSIW5
zOpJ<<J_iMmG7BkMJGU-#)(kLv)mPh?wGt`6&UGsP7kc#^HcN<_b`n9afs9t6lgtj?
zx;sx&HO<6IX$<dyAB`c`T_kO;Y`o}$X)tg^5Hj5b?H&VSL3hINH7F22!y>!&80x-s
z5esOod#!!1bs9~&fHbHgLVBk2t3)cpXF5@H4qB{}!X{UW8|2s6BsM(H?g-fD<aQyJ
z;6p)cz{G{&Nmi70pWarTi<?66*L+;LVORx|g&?!){s1KLy*(aQ{V?PgB1s#o2L%Bi
zo}tr_X=pGkC0EX$67^y$!s&g4FJZr-{%rMuH2movJi8|jNy7pl;ywlilMmB{>8;(h
zH%C(3s(Or0%^#!VXG+g=y)t~BUkfcqGZ8OQ0kTwaoft*_T3u>o3>GIpSGLp{@T-jF
zE39bn)qIxQ1z#z<$fapW8xz!_uMtNSWM!I8=ZTGa&8GmYDx$&N2g!U&&MuulH7Zpx
zw#H|05;e8c@)`a#R@Xf#NC;LGk+SK1Mt$H`zibhaWL$6v#VWZ$0O__1wVm=Kk;Y{z
zEK~))c|ZBU^Es*8jt$b&(n6^;8!6(?4LBS>qQR{_aI8Ie{uE^go*^@@5FIAgX#=ud
zkTD{{fnYqCglr6ob#9#|*^qD_W(#H;W=FEME8RmV2$0@J`WxBW$o58d4xM$=J%2X*
zED|V%G9$J*=%oRUFuzTvuSA+alTaa?Sgtp<Ah=A(Md%wk2dFaYN@=)m9%|=~>o_j8
zh;Oi3G&JKrKLPHj+YA>Pdhbzg=sc0Zg-vNV{_ix5Blr9u^3M;1jJ!7|N0Ijyme$$%
z@njOYM+M#G5a%$^1E5gvz)~|AwN1G?o&6knlgV+-vYHjOTj-}*dL}k;Pd9OY1McP%
zSe$m7im@rlfIa;53wT@6pVWSAuExWisAHD&f1ok7bfMFYNZn1<Oo=B)jajdmpxdKn
tvzo>FBlN;b*jnhq4GtkgWvaf#mxjaAcY{t420KAN=msx+7s7fp{{<*)>kt3{
diff --git a/Models/__pycache__/TDA_Prediction.cpython-37.pyc b/Models/__pycache__/TDA_Prediction.cpython-37.pyc
deleted file mode 100644
index 677893168cd75bddce499a302a50388551b43c8c..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 1852
zcmah}&2Hm15Z0e<*-6mFZhL7jycC5GiGf8?6pNtP-E4s7u--JzUUaBIi*(FdmIRVY
zYQa6FFVm+e+Gps=*S<wh{f4p~CqPjO!x>2&a=ve7`1a_i=VAQy`|!s<TAueey=+GS
z<2A&5jY)XI|J6%85r`1l7m;W|2cj)H(4mM$7djF>aRA*Cha<0ll)}>uA2Z1r#Kf3{
z|BJWsuqLPnJ%&-0S-}Of#gYkbxsleesV)}Gq-w70aVELW-OAx_Uf*9wv`W*SZu;kk
z!AB#t8JHQrn=iPT6vbrlPMWzb$^oRviW`;kY`oy<OyzRyHdOh|;C&%vW(L>q-i$A`
z6e_i<$WO}UI;JBiDmukPn7k<RH5n;=qCq5u5C`lz3;^>jXj*yqf$yz+Kn&||_91G?
zGj><#O#Cm>`Z*R01nE{fK3)NPtJEsD{b1dls!Wb^zL1&%d7wj6OzSQIm`a<@h;q}$
zL<oAm?!ek%AS?vRVfYpX;`b@h_n}XABm%+$tF^P*JFC-JA^_63P8`xpUEC@m4V!2s
zrwmrARcY0&WX5u<j8&;&MZP8AggLisK8KGBS_2c~hN--)?1}qZcdnPEWUtt;4tl*h
z9?iIWt-IfYBzAnvdi7zi$F8}`nzsYw9|up!sqbqPI8{y{rca6bY%jv`F2ZM6Z(M)0
z4nZ0{x{Gf+;)pcj-4XXG3`#yEfP|}H6;6qipspXIlheoO*rn9dLN8G8#U0mTFyZN(
z43H(uJ7uKv*YZY7W2iXUm9&-4!LKxyEvSIutJ$QmGq#X+RtVFOHgr(?k){er;=IbT
z@l@I5pg9U)Wtkjp4|K0j$@#?XKQ=Oxt~I{EPOgW&R^-#8iK87UL<m)sBW2U-zUzaa
z{&|lGl{3x|ij`u60O__fxu5bgo~2dBEvkb4ydQmJ#nhSmjt$Zel|`vE3thxt891Cj
zq9Is^a9oG@{uE^g--wwn37zZpHjo_=GD1Xyz=RNoYzV`8_g<51Bs_w&AZ<uT_^Ut!
zrzi;MaHFG*Zf$gXqdTYGs_C9T8-8XArBLOLZ3eqC;E3|uWcrq83Qgh);leV#sRhn9
zcNf=7w-2Z?@>XhGHxIS5<vL9(&C?}Si$*h^unTbKy3H`I(R+__<M!h@?q`>V^Z!o6
zFbS?+CehVPE|T!g#aR-*#nigIIv<Ua;H-34H}2SetPen;KE$;4Mbb9a;=|;pBpi*-
z*M7eC%XLudr&)T&H*t@*al_qwj>&7cT`@K#8T${9eu2Nke%oE#?&fn{?5fr!*e%#Q
diK@4`K;u&|US;w-`sA*HxD&_mLEMYG{{lL7!NC9k
diff --git a/Models/__pycache__/TDA_Regression.cpython-37.pyc b/Models/__pycache__/TDA_Regression.cpython-37.pyc
deleted file mode 100644
index 45a527c8e108885616b6980d4be3ffc01d6e9fdc..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 2033
zcmah~!EWO=5EUuemK8hMF1mZ@i9ib!J|tf3p=cLD(cNr{?qR)YoW1B!gBIynwJZrF
zoiu`bO243g(ckE2=-N|%p{LG_9LEVzlm<C75{H`iW`=&#??)aC_WAcejXIw97aDgX
z0OdQF_IFs6rKS<INHxblDVVy*(!0_m%^>VOPXsJb9qDpGqO+p4GfAUkS54z;ht
zTNZb9q`S9ph7M51dtmR8-6FdOc8}~f%D4}9pX^9?bPsfnmO2=FgC~DOT;71yp^{Eo
z?QDV%aInoh0ck^66#La%d*H;YVI*Lz%B+w|xZ+0Kd5f7Tmcl0KB6WwEmL{j2qd)K)
z0q!zB97W4NKMp@yZS2s_<@I7I?X)PS!?)TlTu}~T7FltbCNi5WWin55J)r~B{Brod
zP&%{2i?^>Q=larUYtte>DsLJX7*z|SM)tiRV5SW+K|nY-Obmj6Jp~1TF$Wo0d$*i<
zYX%Vg>Z@IdM$1fG7ba8xi?n(Qn-v5}JBg21fW1|kG<O4DcV}s)C%If|gW=uNVKC&n
ziyY0gOXfW=Ee4JVB4)avZ80DgbSDg7g97n0tf^a{p&lrXSU_uSwf0u)G@9aoG^}Dm
zdS;5NRB0=wCe<?mT4K`DrB_;5CtYe?npjcfcLW>>a=VZV@S&g$U=q@bG%r`~h~8G6
zi<?r5S7KE0D5}EoT#{LJe*lui;h~7CUKEK7nP!c(2l<B&Ptj?>4D=IL4p+0sL_OPy
zaI%f?IqbL8j;$V$hCj0h&$h%NX;=V6+^3*m@?mnA{+h4-8Ir=Q>LEHkdx%b)X)`O#
z(u!GeEsYvZWwJm8$kOF?YBl+r`{ESm+O13u{A%mO5(^l7jhGg0E|%KO3uPP9Mg(;b
z7{n2W`6|mMv(&|V&8GmYF5~{)2g!U)&H<f2u{zU<gVy*0PNE+6S^>kK!Rp$Qf`nj2
z5h<HiXVeG0`elcRG#64pC{C*l0!X);>)n)}$Shf9(m_?=oA=|7qL`7o>)0UuuyRl;
z%|?p&OA8LC4`|@E5014D&mW`gz%yj#1){^mdTl^<05U;DI1r2vlaP%-ao(-hBpVVQ
zz-+;6!|W)w=87LfL4fo(GT6x0Mz%MybL_2~?)kIfXP!bSta4&ofWET85$3na^p(s~
zXcD}o#5*U<rWT}7DY-~<L+1chR$plY*Uf$H+;N>GD<hK|tQG^!h$n5j%?fFt_a5Yi
z&XYOZ&y<GK|4zdw=I1Zt;QXajvH$wrN$kIYrFC|GIv&UTq@=4G;v9sg4-}exSZb!?
zwp}ehOn;93@%Xf6dCkh2m*#Pnp2$tylTF;;fV=$+7O&l=Vr)t>WcNSw4Bl4spLCSi
ztI=RT?$`xg{{~Y_7dqXD)ZJ9glz4J9nDv@Tx;<((tyy9|K`*R?orNyk@E9_*%JjGR
Y(h695JnV!~xF7byZumUl5Y~hFFXQ0loB#j-
diff --git a/Reports/.DS_Store b/Reports/.DS_Store
deleted file mode 100644
index 96e99f845f70dddd9ce0e5ed953f3bd46058b856..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 6148
zcmeHKy-ve05VlJxZV{pb5{StQTZcv<5Cc*uWne=JKLenWkgAQ8##NJ2K`F{>z}qnL
z1Uv_C!1<>YrTk1FKzGvlJD>0D_)BEx2qCo6^({h*gb)TQF_VYp9g*WwCnRG$IY6rB
zsFT?1#ceMX-b6Gyej@|&-Q`F?TEry{GXDM^y>=MHNxA$)GgH~=+zev{R+uZCIZe@X
z5;y6_6}NLDd;4zE^o)HVL^!ft?<lDEYQ=>e5hZRA)jKLV@aqtAdK^T)=v72F@?$lR
zqX!tvvwW?%)bCrHR*A2!S%VVqZ)}uHd~J1oFvzpT6>DqnymfWmzZu-#X=W*Wgi7WO
z4&fe*u}y{z%efG(_Aub>cuQ2P<|Agu(}&A5&kx&^G5(h^?dIp}Tsoa76j1}_9zOf4
zM?w=BKn9S3?_$6lIc)a37QlIt0c7CMG9b?f4l2<$m}*o<2Q;b#0L+403D~lhkU89-
zZ7|gcBOp|#0_s$1N(`#g!Ou;cZ7|iS(+M@j2Q@2GQ=w3`I?T^iIH9&iY>@$EV4Q&|
z-7U)dfA{11e>@3$$N)0%uNa`&s#C4NmdxEcu{n9ya?o>7DKakAI7$ISUBwV9ui_<8
aCE(}M0JIIJ8o>jCKLUydY><H;W#9!7wQd>!
diff --git a/Topological_ML/.DS_Store b/Topological_ML/.DS_Store
deleted file mode 100644
index 7196b2f952ea476a0da897cb355f6bf9b0581816..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 6148
zcmeHKOKt)&47FP%Mq<N)1<RbE5;q8FdIAmrqDU<g(_zsry35sike;FH4f_0P#fV|i
zO+_mkCC^E0kMkswn231syqyt^iKs#oWKnuVrhAvJ+;{+Fjj^LATH$v?hn_%}I3>A{
zH0K>X(sBMT`}^7Qu5FHYa>lZ0>w2?qH;7eD-rt79kJtJ6xJ|qLf%W0xB#TSrF>(q9
zf`MQl82CF3;LaAQMuyP`1HnKr@Xdgn4+%{$I~GGdI?!ne0F-C63UsL@#3wms$6|;T
z2%9U=T-i$uHh0V?x66*j(A<f=_+bC?SMkF7b;M6<PMi&+4+esPE(6y#9LxQGi@!{7
zk>7QRQ7{k;{4)l4P%rBRHsyEg$@b)~O=xR05wR<xK%jRX0T{?RGSx*}Pol#vI~GHU
TBJ=7FjE8^{5?wIx3k-Y$k?t|#
diff --git a/Topological_ML/.ipynb_checkpoints/Untitled1-checkpoint.ipynb b/Topological_ML/.ipynb_checkpoints/Untitled1-checkpoint.ipynb
deleted file mode 100644
index 2fd6442..0000000
--- a/Topological_ML/.ipynb_checkpoints/Untitled1-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Topological_ML/.ipynb_checkpoints/__init__.py-checkpoint.ipynb b/Topological_ML/.ipynb_checkpoints/__init__.py-checkpoint.ipynb
deleted file mode 100644
index 2fd6442..0000000
--- a/Topological_ML/.ipynb_checkpoints/__init__.py-checkpoint.ipynb
+++ /dev/null
@@ -1,6 +0,0 @@
-{
- "cells": [],
- "metadata": {},
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/Topological_ML/__pycache__/TDA_Prediction.cpython-37.pyc b/Topological_ML/__pycache__/TDA_Prediction.cpython-37.pyc
deleted file mode 100644
index e5ce10da8a79dfcde1cd889d46782086fcf51607..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 1874
zcmah}&2A$_5S~BVV<!=-1uk&u3qn3@EUgeis|c~1jYK5Y8^zhn9I)Ec?Rdy|X4Ku2
zkdZlsm*FW8JOd|Rc?(W_RpU5LBt(y@tEPYJ`>Lwn92^Whw7-5I|M*A8^Zurv`xe0X
z4r0GTr#$8V>Ls2ER0!>>NOhnC)m1&{P{pbb9jSrZgYKyPi8nk*v6GvRp5z!}V|2>@
z#anq;6EvfNK&z{~luEerRw(JD)y|5!DVM^g*;VFV<XW17SB`)4hW<LDRff*w?w`xi
z2dj-8*@e8hT1q=B%h~9ywpXsKMvyWuFSAtU)1^!oS)r$VU{+j?E_Np0Z6<%9+j#Qr
z>*<-%Dob5f7KhdCI;M-sSGwCq=)5TM4H+p7Q6uU?2*Z6218{u@@>bqm;Cm|{z{BS2
zUEoH`T-=l<SO1H@d5*;j-tkIi=@l61R3<CjFj)8JS+1vrTxvs(Jdk9_r*)qI%(Y7w
z6bRczM+gSK>A~7!AS?umF?<69{`(aEyU-^)QUPIs)!ACzt<`HS6#!}6B#iXTl-HTk
zR?JMM=K@x0vdU%GT39DtW?hzAQ5N?E917lcA+NB9oi@NEq!n3F)$WjIo8HB3rNt{T
zZi2y}i6;xmzfJ#pkR)Eb5QAoaFc23q%iF&_WCbps(WaqqkoJ^Mfto)h>eC$$r&|x7
zVZG(5>Fk3v`b-~VTjGc`;+={61O^2k5<tRLunOlyO3*Zq(dqePbmB~#d1;m?gYrfi
zHJZuviVTpYtDDSf-f#4!(biIOigWF1Q-EJ>omiGi=h$n+taJ;p)NWBK+mbeBsKdxm
z1|)G&=lOJ=xn!@s3Sf1W9Nb^XzfZ~eh|ix|oog<Q&v6o0w%3V#`V4WjC4~r~jABwY
z4}i~g5HvsU5Rnx^3b^95+8{u<-9qn%{8;8`olA$TpqY1*52Bp2xx2AN`o4BZm3AR}
z{H4W)lSecJ>ku2)A;zDg>|u<U`GU}Kt#^U!fRGU)Y6K>PFtRZW=iPa2uo3VG(t&g#
zJ>{<g6&xWUpu>%hHoCLX-Hq-Yd8@X1{%rYKWJra&V73M9+JYmBZyV`rnP(^xPJ~k@
z%qAD4*t}iR-10e~%Ia%v@Z3D)&OO&@S{s?(QnnZr<DobOcU)~&NQ2sY6dOKI7I?Ke
z3@85`hH(;{zf7X@mr^C+>(k>Te1ooYc78IMB*AgT4?5o1VQlt5q1i{b_Eplg_457f
zrzD(APS$?0_N#SJnWs^DCO3Xh@BPMh`x!c~+vQ|zQ!@4+KJzhV$HOi^-2C!!6?4{d
hfO)~rO_aUu0~#NJ@jBPv(hxrdaW9VJy?7A!{{`<?%98*9
diff --git a/Topological_ML/__pycache__/__init__.cpython-37.pyc b/Topological_ML/__pycache__/__init__.cpython-37.pyc
deleted file mode 100644
index 1cdb03ac8b5d5281d83237dfc0207ee9fc9ba3dd..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001
literal 259
zcmZ?b<>g`k0`1#|aUMYWF^B^LtU!hX5ElypiFAfch7^Vr#uTPGEQ|~(%)tzrEH7Dr
z5-*v6geJ=^*5uTjoZ={s+|-i9l*E$6D2}|OwEUvn#F8jJ7%M(EGcUi$ZzV$!NGF2$
zm8c(DoLW?@U!0Lxo}HUmoRpuRr0<eioL!P%pby0PIr-_C$%#4fxrxacnR%)4IjM<7
xd6{|X`XNY?zEDXYm}Go>W?p7Ve7s&k<t+}I-29Z%oK!oIdyCnC1QR0&0s#BTNE!eD
--
GitLab