Issues downloading mmvec plugin to qiime2-2020.6

Hi,

I am wanting to install the MMvec plugin in qiime2 to perform microbial-metabolite interactions. At first I was having problems downloading the qiime2 version (qiime2-2020.6) needed for this plugin to work, however with help from technical support I was able to successfully tackle the issues. I have moved forward to downloading the mmvec plugin using the following command: "conda install mmvec -c conda-forge" (this while being active qiime2-2020.6).

This is the error I am getting:

(qiime2-2020.6) megl5@x86_64-apple-darwin13 ~ % conda install mmvec -c conda-forge
Channels:

  • conda-forge
  • defaults
  • bioconda
  • qiime2/label/r2020.6
    Platform: osx-64
    Collecting package metadata (repodata.json): done
    Solving environment: done

Package Plan

environment location: /opt/miniconda3/envs/qiime2-2020.6

added / updated specs:
- mmvec

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
_tflow_select-2.3.0        |              mkl           3 KB
absl-py-0.15.0             |     pyhd8ed1ab_0          98 KB  conda-forge
astor-0.8.1                |     pyh9f0ad1d_0          25 KB  conda-forge
c-ares-1.34.3              |       hf13058a_0         179 KB  conda-forge
ca-certificates-2024.8.30  |       h8857fd0_0         155 KB  conda-forge
certifi-2021.5.30          |   py36h79c6626_0         141 KB  conda-forge
colorama-0.4.5             |     pyhd8ed1ab_0          18 KB  conda-forge
gast-0.2.2                 |             py_0          10 KB  conda-forge
google-pasta-0.2.0         |     pyh8c360ce_0          42 KB  conda-forge
grpcio-1.30.0              |   py36h7c1f37e_0         1.8 MB  conda-forge
keras-applications-1.0.8   |             py_1          30 KB  conda-forge
keras-preprocessing-1.1.2  |     pyhd8ed1ab_0          34 KB  conda-forge
libprotobuf-3.12.3         |       hab81aa3_2         2.1 MB  conda-forge
markdown-3.3.4             |     pyhd8ed1ab_0          67 KB  conda-forge
mmvec-1.0.5                |             py_0          28 KB  conda-forge
mock-5.1.0                 |     pyhd8ed1ab_0          33 KB  conda-forge
openssl-1.1.1w             |       h8a1eda9_0         1.7 MB  conda-forge
opt_einsum-3.3.0           |     pyhc1e730c_2          57 KB  conda-forge
protobuf-3.12.3            |   py36h0130604_0         683 KB  conda-forge
tensorboard-1.15.0         |           py36_0         3.8 MB  conda-forge
tensorflow-1.15.0          |mkl_py36h975b573_0           4 KB
tensorflow-base-1.15.0     |mkl_py36h032239d_0        75.5 MB
tensorflow-estimator-2.5.0 |     pyh8a188c0_0         290 KB  conda-forge
termcolor-1.1.0            |     pyhd8ed1ab_3           8 KB  conda-forge
tqdm-4.65.0                |     pyhd8ed1ab_0          86 KB  conda-forge
werkzeug-0.16.1            |             py_0         255 KB  conda-forge
wrapt-1.13.1               |   py36hfa26744_0          43 KB  conda-forge
------------------------------------------------------------
                                       Total:        87.1 MB

The following NEW packages will be INSTALLED:

_tflow_select pkgs/main/osx-64::_tflow_select-2.3.0-mkl
absl-py conda-forge/noarch::absl-py-0.15.0-pyhd8ed1ab_0
astor conda-forge/noarch::astor-0.8.1-pyh9f0ad1d_0
c-ares conda-forge/osx-64::c-ares-1.34.3-hf13058a_0
colorama conda-forge/noarch::colorama-0.4.5-pyhd8ed1ab_0
gast conda-forge/noarch::gast-0.2.2-py_0
google-pasta conda-forge/noarch::google-pasta-0.2.0-pyh8c360ce_0
grpcio conda-forge/osx-64::grpcio-1.30.0-py36h7c1f37e_0
keras-applications conda-forge/noarch::keras-applications-1.0.8-py_1
keras-preprocessi~ conda-forge/noarch::keras-preprocessing-1.1.2-pyhd8ed1ab_0
libprotobuf conda-forge/osx-64::libprotobuf-3.12.3-hab81aa3_2
markdown conda-forge/noarch::markdown-3.3.4-pyhd8ed1ab_0
mmvec conda-forge/noarch::mmvec-1.0.5-py_0
mock conda-forge/noarch::mock-5.1.0-pyhd8ed1ab_0
opt_einsum conda-forge/noarch::opt_einsum-3.3.0-pyhc1e730c_2
protobuf conda-forge/osx-64::protobuf-3.12.3-py36h0130604_0
tensorboard conda-forge/osx-64::tensorboard-1.15.0-py36_0
tensorflow pkgs/main/osx-64::tensorflow-1.15.0-mkl_py36h975b573_0
tensorflow-base pkgs/main/osx-64::tensorflow-base-1.15.0-mkl_py36h032239d_0
tensorflow-estima~ conda-forge/noarch::tensorflow-estimator-2.5.0-pyh8a188c0_0
termcolor conda-forge/noarch::termcolor-1.1.0-pyhd8ed1ab_3
tqdm conda-forge/noarch::tqdm-4.65.0-pyhd8ed1ab_0
werkzeug conda-forge/noarch::werkzeug-0.16.1-py_0
wrapt conda-forge/osx-64::wrapt-1.13.1-py36hfa26744_0

The following packages will be UPDATED:

ca-certificates 2020.6.20-hecda079_0 --> 2024.8.30-h8857fd0_0
certifi 2020.6.20-py36h2432673_2 --> 2021.5.30-py36h79c6626_0
openssl 1.1.1g-haf1e3a3_1 --> 1.1.1w-h8a1eda9_0

Proceed ([y]/n)? y

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
QIIME is caching your current deployment for improved performance. This may take a few moments and should only happen once per deployment.
Traceback (most recent call last):
File "/opt/miniconda3/envs/qiime2-2020.6/bin/qiime", line 11, in
sys.exit(qiime())
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 829, in call
return self.main(*args, **kwargs)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 781, in main
with self.make_context(prog_name, args, **extra) as ctx:
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 700, in make_context
self.parse_args(ctx, args)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/click/command.py", line 43, in parse_args
return super().parse_args(ctx, args)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 1209, in parse_args
echo(ctx.get_help(), color=ctx.color)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 570, in get_help
return self.command.get_help(self)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 975, in get_help
self.format_help(ctx, formatter)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 1003, in format_help
self.format_options(ctx, formatter)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/click/command.py", line 157, in format_options
for subcommand in self.list_commands(ctx):
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/commands.py", line 92, in list_commands
plugins = sorted(self._plugin_lookup)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/commands.py", line 76, in _plugin_lookup
import q2cli.core.cache
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 406, in
CACHE = DeploymentCache()
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 61, in init
self._state = self._get_cached_state(refresh=refresh)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 107, in _get_cached_state
self._cache_current_state(current_requirements)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 200, in _cache_current_state
state = self._get_current_state()
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 238, in _get_current_state
plugin_manager = qiime2.sdk.PluginManager()
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/qiime2/sdk/plugin_manager.py", line 54, in new
self._init(add_plugins=add_plugins)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/qiime2/sdk/plugin_manager.py", line 81, in _init
plugin = entry_point.load()
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/pkg_resources/init.py", line 2460, in load
self.require(*args, **kwargs)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/pkg_resources/init.py", line 2483, in require
items = working_set.resolve(reqs, env, installer, extras=self.extras)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/pkg_resources/init.py", line 791, in resolve
raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.ContextualVersionConflict: (tensorflow-estimator 2.5.0 (/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages), Requirement.parse('tensorflow-estimator==1.15.1'), {'tensorflow'})

Also, now every time I conda activate qiime2-2020.6 I get back the same message before activating.

How should I proceed? Thank you in advance.

Hi @natalie.melendez,

I found a few issues that seem related:

My quick synthesis is that we're getting a version of tensorflow that is too modern (i.e. mmvec doesn't pin it down sufficiently).

This comment suggests the following approach:

conda install -c conda-forge tensorflow=1.15

Which should downgrade your tensorflow and stop that particular pkg_resources complaint about the mismatched version.

Hi @ebolyen,

I have tried several ways to install tensorflow 1.15 including: pip install "tensorflow>=1.15,<2.0" and pip install tensorflow==1.15. However, both have been unsuccessful. I tried the approach you suggested but it also came back with an error:

(base) megl5@MEGLs-4-iMac ~ % conda install -c conda-forge tensorflow=1.15
Retrieving notices: ...working... done
Channels:

  • conda-forge
  • defaults
    Platform: osx-64
    Collecting package metadata (repodata.json): done
    Solving environment: | warning libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE
    failed

LibMambaUnsatisfiableError: Encountered problems while solving:

  • package tensorflow-1.15.0-eigen_py27hb2c3b19_0 requires python 2.7.*, but none of the providers can be installed

Could not solve for environment specs
The following packages are incompatible
โ”œโ”€ pin-1 is installable and it requires
โ”‚ โ””โ”€ python 3.12.* , which can be installed;
โ””โ”€ tensorflow 1.15** is not installable because there are no viable options
โ”œโ”€ tensorflow 1.15.0 would require
โ”‚ โ””โ”€ python 2.7.* , which conflicts with any installable versions previously reported;
โ”œโ”€ tensorflow 1.15.0 would require
โ”‚ โ””โ”€ python 3.6.* , which conflicts with any installable versions previously reported;
โ””โ”€ tensorflow 1.15.0 would require
โ””โ”€ python 3.7.* , which conflicts with any installable versions previously reported.

Hey @natalie.melendez,

I think you are in the base conda environment here, which is going to not work. Activate your q2 environment and then try the command.

โ”œโ”€ tensorflow 1.15.0 would require
โ”‚ โ””โ”€ python 3.6.* , which conflicts with any installable versions previously reported;

This is the branch I'm hoping will resolve fine once you activate the q2 env.

Hey @ebolyen,

You're correct. I was indeed in the base. I activated my q2 and tried again the command, but still the same message comes up.

(qiime2-2020.6) megl5@x86_64-apple-darwin13 ~ % conda install -c conda-forge tensorflow=1.15
Channels:

  • conda-forge
  • defaults
  • bioconda
  • qiime2/label/r2020.6
    Platform: osx-64
    Collecting package metadata (repodata.json): done
    Solving environment: done

All requested packages already installed.

QIIME is caching your current deployment for improved performance. This may take a few moments and should only happen once per deployment.
Traceback (most recent call last):
File "/opt/miniconda3/envs/qiime2-2020.6/bin/qiime", line 11, in
sys.exit(qiime())
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 829, in call
return self.main(*args, **kwargs)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 781, in main
with self.make_context(prog_name, args, **extra) as ctx:
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 700, in make_context
self.parse_args(ctx, args)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/click/command.py", line 43, in parse_args
return super().parse_args(ctx, args)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 1209, in parse_args
echo(ctx.get_help(), color=ctx.color)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 570, in get_help
return self.command.get_help(self)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 975, in get_help
self.format_help(ctx, formatter)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/click/core.py", line 1003, in format_help
self.format_options(ctx, formatter)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/click/command.py", line 157, in format_options
for subcommand in self.list_commands(ctx):
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/commands.py", line 92, in list_commands
plugins = sorted(self._plugin_lookup)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/commands.py", line 76, in _plugin_lookup
import q2cli.core.cache
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 406, in
CACHE = DeploymentCache()
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 61, in init
self._state = self._get_cached_state(refresh=refresh)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 107, in _get_cached_state
self._cache_current_state(current_requirements)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 200, in _cache_current_state
state = self._get_current_state()
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/q2cli/core/cache.py", line 238, in _get_current_state
plugin_manager = qiime2.sdk.PluginManager()
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/qiime2/sdk/plugin_manager.py", line 54, in new
self._init(add_plugins=add_plugins)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/qiime2/sdk/plugin_manager.py", line 81, in _init
plugin = entry_point.load()
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/pkg_resources/init.py", line 2460, in load
self.require(*args, **kwargs)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/pkg_resources/init.py", line 2483, in require
items = working_set.resolve(reqs, env, installer, extras=self.extras)
File "/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages/pkg_resources/init.py", line 791, in resolve
raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.ContextualVersionConflict: (tensorflow-estimator 2.5.0 (/opt/miniconda3/envs/qiime2-2020.6/lib/python3.6/site-packages), Requirement.parse('tensorflow-estimator==1.15.1'), {'tensorflow'})
(qiime2-2020.6) megl5@x86_64-apple-darwin13 ~ %

Shoot...

Could you run conda list inside that q2 environment? I wonder if it would be best to start a fresh env, just in case it's gotten too messy.

I ran the command and this is what I got back. I think the issue may be with the version of tensorflow-estimator as it's at 2.5.0 while tensor and tensor-base are at 1.15.0. What do you think?

(qiime2-2020.6) megl5@x86_64-apple-darwin13 ~ % conda list

packages in environment at /opt/miniconda3/envs/qiime2-2020.6:

Name Version Build Channel

_r-mutex 1.0.1 anacondar_1 conda-forge
_tflow_select 2.3.0 mkl
absl-py 0.15.0 pyhd8ed1ab_0 conda-forge
appnope 0.1.0 py36h79c6626_1003 conda-forge
arb-bio-tools 6.0.6 h82bc0eb_8 bioconda
astor 0.8.1 pyh9f0ad1d_0 conda-forge
attrs 19.3.0 py_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 pyhd8ed1ab_4 conda-forge
backports.functools_lru_cache 2.0.0 pyhd8ed1ab_0 conda-forge
bibtexparser 1.1.0 py_0 conda-forge
bioconductor-biobase 2.42.0 r351h1de35cc_1 bioconda
bioconductor-biocgenerics 0.28.0 r351_1 bioconda
bioconductor-biocparallel 1.16.2 r351h12d9a10_1 bioconda
bioconductor-biostrings 2.50.2 r351h1de35cc_0 bioconda
bioconductor-dada2 1.10.0 r351h0a44026_0 bioconda
bioconductor-delayedarray 0.8.0 r351h1de35cc_0 bioconda
bioconductor-genomeinfodb 1.18.1 r351_0 bioconda
bioconductor-genomeinfodbdata 1.2.1 r351_0 bioconda
bioconductor-genomicalignments 1.18.1 r351h1de35cc_0 bioconda
bioconductor-genomicranges 1.34.0 r351h1de35cc_0 bioconda
bioconductor-iranges 2.16.0 r351h1de35cc_0 bioconda
bioconductor-rsamtools 1.34.0 r351h0a44026_0 bioconda
bioconductor-s4vectors 0.20.1 r351h470a237_0 bioconda
bioconductor-shortread 1.40.0 r351h0a44026_0 bioconda
bioconductor-summarizedexperiment 1.12.0 r351_0 bioconda
bioconductor-xvector 0.22.0 r351h1de35cc_0 bioconda
bioconductor-zlibbioc 1.28.0 r351h1de35cc_0 bioconda
biom-format 2.1.8 py36h642477c_1 conda-forge
blas 2.16 openblas conda-forge
blast 2.6.0 boost1.64_2 bioconda
bleach 3.1.5 pyh9f0ad1d_0 conda-forge
bokeh 2.1.1 py36h9f0ad1d_0 conda-forge
boost-cpp 1.70.0 h75728bb_2 conda-forge
bowtie2 2.4.1 py36h0c56d2d_3 bioconda
brotlipy 0.7.0 py36hfa26744_1001 conda-forge
bwidget 1.9.14 h694c41f_1 conda-forge
bzip2 1.0.8 hfdf4475_7 conda-forge
c-ares 1.34.3 hf13058a_0 conda-forge
ca-certificates 2024.8.30 h8857fd0_0 conda-forge
cachecontrol 0.12.6 py_0 conda-forge
cairo 1.16.0 hec6a9b0_1003 conda-forge
cctools 927.0.2 h5ba7a2e_4 conda-forge
certifi 2021.5.30 py36h79c6626_0 conda-forge
cffi 1.14.0 py36h356ff06_0 conda-forge
chardet 3.0.4 py36h2432673_1008 conda-forge
clang 9.0.1 default_hf57f61e_0 conda-forge
clang-tools 9.0.1 default_hf57f61e_0 conda-forge
clang_osx-64 9.0.1 h05bbb7f_2 conda-forge
clangxx 9.0.1 default_hf57f61e_0 conda-forge
clangxx_osx-64 9.0.1 h05bbb7f_2 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
colorama 0.4.5 pyhd8ed1ab_0 conda-forge
compiler-rt 9.0.1 h6a512c6_3 conda-forge
compiler-rt_osx-64 9.0.1 h99342c6_3 conda-forge
cryptography 2.9.2 py36hc9d8292_0 conda-forge
curl 7.68.0 h8754def_0 conda-forge
cutadapt 2.10 py36he651532_1 bioconda
cycler 0.10.0 py_2 conda-forge
cython 0.29.20 py36h0130604_0 conda-forge
deblur 1.1.0 py_2 bioconda
decorator 4.4.2 py_0 conda-forge
defusedxml 0.6.0 py_0 conda-forge
dendropy 4.2.0 py_2 bioconda
dnaio 0.4.2 py36he651532_1 bioconda
emperor 1.0.1 py36h79c6626_1 conda-forge
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
fastcluster 1.1.26 py36hcc1bba6_1 conda-forge
fasttree 2.1.10 0 bioconda
fontconfig 2.13.1 h6b1039f_1001 conda-forge
freetype 2.10.2 h8da9a1a_0 conda-forge
fribidi 1.0.9 h0b31af3_0 conda-forge
future 0.18.2 py36h79c6626_3 conda-forge
gast 0.2.2 py_0 conda-forge
gettext 0.19.8.1 h46ab8bc_1002 conda-forge
gfortran_impl_osx-64 7.3.0 hf4212f2_2 conda-forge
gfortran_osx-64 7.3.0 h22b1bf0_11 conda-forge
glib 2.65.0 h577aef8_0 conda-forge
gmp 6.2.0 h4a8c4bd_2 conda-forge
gneiss 0.4.6 py_0 bioconda
google-pasta 0.2.0 pyh8c360ce_0 conda-forge
graphite2 1.3.13 h12caacf_1001 conda-forge
grpcio 1.30.0 py36h7c1f37e_0 conda-forge
gsl 2.5 ha2d443c_1 conda-forge
h5py 2.10.0 nompi_py36h106b333_102 conda-forge
harfbuzz 2.4.0 hd8d2a14_3 conda-forge
hdf5 1.10.5 nompi_h3e39495_1104 conda-forge
hdmedians 0.13 py36h255dfe6_1002 conda-forge
hmmer 3.1b2 3 bioconda
htslib 1.10.2 h862b14c_0 bioconda
icu 64.2 h6de7cb9_1 conda-forge
idna 2.9 py_1 conda-forge
ijson 3.0.4 pyh9f0ad1d_0 conda-forge
importlib-metadata 1.6.1 py36h9f0ad1d_0 conda-forge
importlib_metadata 1.6.1 0 conda-forge
ipykernel 5.3.0 py36h95af2a2_0 conda-forge
ipython 7.15.0 py36h9f0ad1d_0 conda-forge
ipython_genutils 0.2.0 pyhd8ed1ab_1 conda-forge
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q2-quality-control 2020.6.0 py36_0 qiime2/label/r2020.6
q2-quality-filter 2020.6.0 py36_0 qiime2/label/r2020.6
q2-sample-classifier 2020.6.0 py36_0 qiime2/label/r2020.6
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q2-types 2020.6.0 py36_0 qiime2/label/r2020.6
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r-rprojroot 1.3_2 r35h6115d3f_1002 conda-forge
r-rstudioapi 0.11 r35h6115d3f_0 conda-forge
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r-viridislite 0.3.0 r35h6115d3f_1002 conda-forge
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xz 5.2.5 haf1e3a3_1 conda-forge
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zstd 1.4.4 h4b3e974_3 conda-forge
(qiime2-2020.6) megl5@x86_64-apple-darwin13 ~ %

Yep, I think that's probably your best shot. Try installing that at version 1.15.1

One other thing that may matter is this:

It looks a lot like a feature-flag to synmchronize packages, and it's version seems rather high. Usually these aren't directly installable, but we should keep an eye on it.

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Hey @ebolyen,

I was able to successfully install tensorflow-estimator version 1.15.1 using pip install tensorflow-estimator==1.15.1.

After that, I proceeded installing the mmvec plugin with conda install mmvec -c conda-forge. I am happy to say I was able to install it!

Thank you so much for your help!

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